Bellevue

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Do you want to manage supplier relationships in the invoice payment lifecycle? Do you consider yourself well-versed in the world of telecom billing reconciliation, Accounts Payable, program management and vendor relationships? If so, the AWS Global Connectivity Infrastructure Development (GCID) Business Operations team at Amazon is looking for an experienced professional to provide support of payment, operations and capacity by managing the invoice to payment lifecycle for our global backbone, interconnect and metro fiber circuits increasing our capability to optimize network cost efficiency around the world.As part of the Business Operations team, you’ll use the levers of process and technology to help our GCID team influence and hold supplier partners accountable. Key job responsibilities• Vendor Management – on-boarding new suppliers including sharing of GCID requirements via supplier welcome package and set-up guidance in our approvals and payable systems. Maintain relationships with vendors to ensure invoicing/payment procedures are clearly understood, documented and accurately managed.• Drive On-Time Payments - Provide ongoing support ensuring timely vendor payments by reviewing & approving invoices, avoiding late fees, resolution of disputes, prompt acceptance of credits, expense monitoring and cross-functional process improvements• Controllership of Networking Spend – Optimize cost efficiency of the business by reviewing and understanding service level agreements (SLA), keeping vendors aligned to contractual rates, raising and recovering SLA credit requests.• Maintain Accountability – influence others and hold responsible individuals accountable for issues resolution. Know when to involve the appropriate business partners, when to escalate and who to engage for effective resolution.A day in the lifeYou will work closely with supplier partners, AP, Finance and Business Development to ensure AWS network costs are closely tracked, easily understood, and managed YoY.• You'll be empowered to think big, influence and exercise ownership over your solutions.• You’ll interface with various levels within AWS as well as external vendors, to influence decisions and manage expectations• You'll be a trusted resource for GCID and will be a key member of a team of innovative program managers to extend impact across the organization. About the teamBusiness Operations works closely with global suppliers and internal Amazon teams to provide timely payment support of network services. This includes vendor management and on-boarding, managing billing accounts, payment issue resolution, etc. Business Operations routinely implements cost savings and process enhancing projects, data integrity initiatives and various special projects through to completion in support of these efforts.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- 3+ years of program or project management experience- Experience supporting accounting/finance customers to set and effectively manage expectations, project deliverables, and drive resolution when conflicts or issues arise- Experience working cross functionally with tech and non-tech teams- Experience using data and metrics to determine and drive improvements- 3+ years Telecom Expense Management- 3+ years of driving end to end delivery, and communicating results to senior leadership experience- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization- Experience building processes, project management, and schedulesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The North America Workplace Healthy and Safety (WHS) Governance Risk Manager will be responsible for responding timely and accurately to safety and health regulatory interactions. We are looking for someone who can contribute to the group’s operational excellence by assisting with the execution of our compliance life cycle and ensuring that high quality compliance inputs are provided in the process. To be successful, one must be comfortable working on tasks requiring strong judgment, be able to critically evaluate the regulatory environment to determine the best path forward, and have the ability to effectively communicate recommendations and assessments to stakeholders, both verbally and in writing, and must be able to identify and document improvement opportunities within the processes you work on. One must have prior work experience in a professional setting, a cooperative attitude, and organizational skills. The position requires that you be self-motivated to learn the operations and data analytics, and will involve both independent and team work in a fast-paced environment that is constantly changing. Key job responsibilitiesServe as a liaison between WHS Governance and all business units, such as NACF WHS, AMZL WHS and ATS WHS for continual alignment. Ensure quality and timely written and verbal responses to regulatory agencies. Support building WHS competencies and awareness across different business units regarding regulatory requirements. Use of data and case management tools to identify trends related to regulatory interactions. Monitor performance of business units against applicable regulatory compliance and internal Amazon standards.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! B.S or B.A. Degree 3+ years’ work experience as a paralegal or legal assistant or work in regulatory compliance with a focus on execution and operational excellence.Analytical, writing, and verbal skillsExperience managing a large number and variety of mission-critical projects, working independently and often in an ambiguous environment. Written and verbal communication skills, including influencing and partner with all levels of the organization and outside contacts. Experience collaborating with high-performance teams, including communication, motivation, and skills. Project management skills. Comfortable working on tasks requiring strong judgment. Intermediate knowledge of MS Office, MS Excel, and data retrieval/mining skills using data warehouse systems. Demonstrated leadership and ability to work across the most senior levels of leadership and all levels of an organization with multiple businesses, including operations, legal, and public policy, to provide leadership and strategic planning on compliance and recordkeeping. Proven ability to influence the decisions of senior business leaders and stakeholders through logical reasoning, relevant data, and the presentation of alternative solutions. Excellent presentation skills. Working knowledge of OSHA 29 CFR 1904, 29 CFR 1910, ANSI, NFPA, ISO, etc. Strong analytical skills with demonstrated problem solving ability. Familiarity with Salesforce a plus. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy. Experience researching, analyzing and synthesizing federal and state regulations. Training or experience analyzing data to identify trends. Prior experience with project management. Strong written communication capabilities. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $53,900/year in our lowest geographic market up to $115,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

This Workforce and Financial Planning Specialist role will support the Global Operations People eXperience and Technology (GOPXT) team through workforce planning and financial acumen. The organization looks to the GOPXT Business Excellence team for central guidance and strategic planning and therefore, we play a major role in driving informed business decisions, especially those related to headcount, cost, and staffing models. By joining the GOPXT Business Excellence team, you will have opportunities to interact with stakeholders at many levels all around the globe, deliver high-visibility writing, influence decision making, and apply your acumen to a wide variety of challenges. Key job responsibilitiesBusiness and Financial Acumen- Operationalizes annual business strategy and business performance measurements (OP1/OP2/Goals). - Acts as a workforce planning and financial SME. Determines knowledge gaps in business and financial acumen and determines the strategy for closing the gap. - Strong knowledge and experience working with HR practices and employment regulations.- Advise and develop solutions with customers involving significant business and/or financial results. - Thinks conceptually about financial returns and costs to achieve business outcomes.- Develop ad hoc business analysis and present recommendations to senior management.- Sets direction and helps other leaders use cost benefit analysis and financial return calculations.- Inspires and champions the development of global Amazon business strategies and practices where differences are the result of local law or intended variation for the enhanced financial results.Writing Strategic Documents and Narratives- Write persuasive narratives that are clear and concise and effectively story tell using data. - Present narratives to senior leadership and influence outcomes. - Own the design, development, and maintenance of ongoing metrics, reports, analyses and dashboards to drive key business decisions- Write the development of ambitious business requirements for major initiatives. Requirements are clear and actionable. The results of the project deliver the outcomes intended with minimal rework.Program Management and Process Improvement- Architects the vision and operationalizes it into ambitious goals and deliverables. - Designs and drives regular reviews of current processes, manages a portfolio of improvement ideas for maximum value.- Anticipates potential obstacles and prioritizes changes for the operation.- Ensures the development of a clear problem statement and desired end state.Influencing Outcomes and Decision Making- Develops quality business cases and white papers that stand on their own to support recommendations.- Comfortable presenting complex and/or controversial changes to senior level leadership.- Responds to escalations, providing roots cause analysis and implement solutions.About the teamThe GOPXT Business Excellence team drives and facilitates decision making, clarity, and/or optimization of the Global Ops PXT strategy, operational planning, workforce planning, financial planning, and business operations. We are focused on making time, information, and decision processes more effective. We serve as an integrator, connecting teams and workstreams that would otherwise remain siloed.- Bachelor’s degree - 5 years of relevant experience, including a minimum 2 years of Amazon Finance, Workforce Planning, HR, or PM experience with increasing responsibility and scope - Business, workforce planning, and financial acumen (e.g., understands and knows how to navigate the OP1/OP2 process) and experience- Skilled in data analysis and data acumen including the use of tools such as Excel, QuickSight, and Clarity- Narrative writing expertise including striking a balance between concise communication and depth of detail- Experience leading complex initiatives successfully at scale (globally or country-wide)- Experience in finance or a related analytical field- Experience building financial and operational reports/data sets that inform business decision-making- Well-developed program or project management skills- Skills in creating process improvements with automation and analysis experience- Ability to influence without authority- Experience solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits)- Proven ability to communicate effectively with a variety of audiencesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $113,300/year in our lowest geographic market up to $187,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. ...

We are a part of Amazon Alexa Devices organization with the mission “delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden”. We are developing an advanced system using Large Language Model (LLM) technologies to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist on the team, you will collaborate with other applied scientists and engineers to develop novel algorithms to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.- PhD, or Master's degree and 3+ years of building machine learning models for business application experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval- 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features.- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI)- Solid software development experience- Good written and verbal communication skillsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are looking for talented Applied Scientists who are adept at a variety of skills, especially with LLMs, use of edge devices, computer vision, or related foundational models that will accelerate our plans to generate high-quality defect detection mechanisms.Our mission is to improve the reliability of equipment (conveyors, motors, belts), and effectively identify from sensors, images, and video specific actions on material handling equipment (MHE) that can prevent unplanned downtime. With millions of products available on Amazon.com comes variation in weight, size, material, and shape. We build products and systems to detect and prevent equipment downtime using a diverse set of classification and anomaly detection algorithms including LLMs. We screen over 150 million events every day, and process this data to create real time alerting systems. We are still day 1 and have an exciting roadmap to build AI predictive maintenance models, deploy scalable causal inference solutions to measure the impact of events, and optimize the reliability of conveyance helping Amazon scale for years to come.As an Applied Scientist II, you will design, develop, and maintain scalable, Artificial Intelligence models with automated training, validation, monitoring and reporting. You will work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques. You will collaborate with product managers and engineering teams to design and implement scientific solutions for Amazon problems. Provide technical and scientific guidance to your team members. Contribute to the research community, by working with other scientists across Amazon and publish papers at peer reviewed journals and conferences.Key job responsibilities- Design and implement scalable infrastructure that enables stacked deep learning models to detect a variety of defects in fractions of a second;- Design and implement anomaly detection and large language models to identify defects associated with customer packages;- Experiment and scale models to thousands of sites worldwide;- Collaborate with RME internal and external stakeholders and have a cross-team impact;- Create and share with audiences of varying levels technical papers and presentation.About the teamWe are a growing team of applied, research, and data scientists working together with an engineering team and product managers to create the next-generation IIoT platform for the Reliability and Maintenance Engineering org.- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience using Unix/Linux- Experience in professional software development- - Experience with modeling tools such as PyTorch, scikit-learn, Spark MLLib, MxNet, Anomalib, etc.- - Effective verbal and written communication skills with non-technical and technical audiences.- - Experience working with large real-world data sets and building scalable models from big data.- - Published relevant research work in academic conferences or industry circles.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization owns and operates OR/ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using Optimization, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We’re looking for a passionate, results-oriented, and inventive scientist who can create and improve models for our outbound transportation planning systems. In addition, you will be working on design, development and evaluation of highly innovative models for solving complex business problems in the area of outbound transportation planning and execution systems. You will work closely with our product managers and software engineers to disambiguate complex supply chain problems and create optimization solutions to solve those problems at scale. You will directly impact our direct customers, and even play with big data and incredible scale in the background.Watch to get the big picture. Key job responsibilities* Design, development and evaluation of highly innovative optimization models for solving complex business problems. * Research and apply the latest optimization techniques and best practices from both academia and industry. * Think about customers and how to improve the customer delivery experience. * Use and analytical techniques to create scalable solutions for business problems. * Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.A day in the lifeThis is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans for and executes within it's logistics network including Fulfillment Centers, Sort Centers, Delivery Stations, and more. In this role, you will be a design and develop Optimization models with significant scope, impact, and high visibility. Your solutions will impact business segments worth many-billions-of-dollars and geographies spanning multiple countries and markets. From day one, you will be working with bar raising scientists, engineers, and designers. You will also collaborate with the broader science community in Amazon to broaden the horizon of your work. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.About the teamFulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Machine Learning and Operations Research, who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazon's operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create ML and optimization solutions to solve those problems at scale.- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience applying theoretical models in an applied environment- Experience implementing algorithms using both toolkits and self-developed code- Deep technical knowledge of operations research, machine learning and statistical methodologiesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs part of the AGI team, an Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. An Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. A day in the lifeAn Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable and high-performance products that require exceptional technical expertise, and a sound understanding of Machine Learning.- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with Large Language Models (LLMs) or multimodal architectures- PhD degree in Mathematics, Statistics, Engineering, Machine Learning, Computer Science or related discipline- 4+ years of industry or postdoctoral experience in machine learning- Experience with patents or publications at top-tier peer-reviewed conferences or journals- Experience with popular deep learning frameworks including MxNet, PyTorch or TensorFlow- Experience in building large-scale machine learning systems- Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning modelsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.- PhD, or Master's degree and 2+ years of building machine learning models for business application experience- PhD, or a Master's degree and experience in CS, CE, ML or related field research- Experience programming in Java, C++, Python or related language- 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc- Solid ML background and familiar with standard NLU, NLG, and LLM techniques- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing- 1+ years experience in building conversational AI and/or natural language processing systems.- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.)- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.- 2+ years experience with large scale distributed systems such as Hadoop, Spark etc.- Excellent written and spoken communication skillsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is seeking an outstanding scientist with strong analytical and communication skills to identify opportunities to develop complex optimization models that will redefine the standards of operation in our North American transportation network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide.We develop scalable and robust state-of-the-art optimization models and algorithms, and what-if scenario planning simulation tools to make long term transportation capacity and volume planning decisions that considers varying demand patterns, costs, and operational constraints.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering and/or Simulation.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Capacity Optimization and Scenario Planning Capabilities for mid to long-term transportation volume planning. You will collaborate closely with scientists, product management peers as well as business stakeholders. You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.Key job responsibilities- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment- Collaborate with cross-functional teams including Product management, Business Intelligence Engineering, and Supply Chain/Transportation Planning to translate model insights into actionable business strategies- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities - Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models - Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches- Create and track accuracy and performance metrics (both technical and business metrics)- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders- Drive best practices on the team; mentor and guide junior members to achieve their career growth potential- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic- Experience applying theoretical models in an applied environment- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience in building optimization models and implementing them on OR tools (e.g. CPLEX, Gurobi)Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you a passionate scientist in the computer vision area who is aspired to apply your skills to bring value to millions of customers? Here at Ring, we have a unique possibility to innovate and see how the results of our work improve the lives of millions of people and make neighborhoods safer.You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors. This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.- PhD, or Master's degree and 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience- 1+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art- Experienced in prototyping, designing, implementing and deploying computer vision applications and tools- Experience in Vision Language Models and LLMs- Effective verbal and written communication skills with non-technical and technical audiences.- Exhibits excellent business judgment; balances business, product, and technology very well.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast growing business unit within AWS. We are working on revolutionary business intelligence system within database, analytics and AI/ML organization to support fast growing business needs. Are you a passionate Business Intelligence Engineer who wants to make a real business impact on a key AWS business?We are looking for seasoned Business Intelligence Engineer to join a BI team for Databases, Analytics and AI/ML business. As a BI Engineer, you will be building complex business intelligence applications using AWS Analytics stack. You should have deep expertise and passion in working with large data sets, data visualization, deriving insights from large complex datasets, writing complex SQLs, performance tuning, bringing data from disparate data stores, programmatically identifying patterns and developing visualizations. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.From technology perspectives, you will have opportunities to (and will be asked to) be exposed to the modern agile cloud-based data technologies. The team is empowered to select the right technology, if necessary, based on customer needs and you will have the full set of AWS services in your toolbox. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Amazon, we're working to be the most customer-centric company on earth while leading the way in sustainable business practices. We are seeking a dynamic, innovative, and results-driven Senior Program Manager to join our Global Engineering Services - Sustainability & Automation team. This role will spearhead our efforts to decarbonize Amazon's operational infrastructure and supply chain, with a particular focus on Material Handling Equipment (MHE) and other building systems. The Senior Program Manager will facilitate strategic partnerships, conduct Life Cycle Assessments, and develop strategies to integrate low-carbon technologies and materials across our global operations. This position requires strong analytical skills, the ability to influence cross-functional teams, and a passion for driving Amazon's commitment to sustainability and operational excellence. The successful candidate will work closely with internal teams, external suppliers, and industry partners to align priorities and ensure the delivery of key milestones that support Amazon's Climate Pledge goal of reaching net-zero carbon emissions by 2040.Key job responsibilities1) Strategic Development and Implementation o Spearhead the development of comprehensive sustainability strategies for MHE and Building systems across Amazon's global operations. o Identify key opportunities for emissions reduction and prioritize initiatives based on potential impact and feasibility. o Collaborate with leadership to align sustainability efforts with Amazon's broader business objectives and Climate Pledge commitments.2.Faciliate and participate in key strategic partnerships with other industry partners. Develop and implement strategies to leverage Amazon's puchasing power to drive the integration of decarbonization strategies via commercial partnerships.3. Life Cycle Assessment and Carbon Accounting o Conduct and oversee Life Cycle Assessments (LCAs) for key operational products and infrastructure components. o Perform carbon hotspot analyses to identify critical areas for emissions reduction across Amazon's operations. o Develop and maintain a comprehensive carbon accounting framework for MHE and Building systems, ensuring accurate tracking and reporting of Scope 3 emissions.4. Supplier Engagement and Decarbonization:o Design and implement supplier engagement strategies to drive sustainability improvements across Amazon's MHE and Builsing Systems supply chain.o Collaborate with the Global Procurement Organization (GPO) to integrate sustainability criteria into supplier selection and evaluation processes.o Develop tailored decarbonization roadmaps for key suppliers, providing guidance and support for emissions reduction efforts.5. Cross functional collaboration across Amazon's World Wide Sustainability, Global Procurement, Design Engineering, Operations Engineering and finance teams. 6. Develop and track key performance indicators (KPIs) for sustainability initiatives, ensuring clear visibility into progress and impact.About the teamIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan- 7+ years of program or project management experience- Experience owning program strategy, end to end delivery, and communicating results to senior leadership- Experience using data and metrics to determine and drive improvements- Bachelor's degree in Engineering, Environmental Science, Sustainability, or related field- Strong analytical skills with experience in carbon accounting and life cycle assessment methodologies- Excellent project management abilities with a track record of leading complex, cross-functional initiatives- Deep understanding of industrial sustainability challenges, particularly in steel production and manufacturing- Proven ability to influence and collaborate with diverse stakeholders, including senior leadership- Strong communication skills with the ability to translate technical concepts for non-technical audiences- Master's degree in Industrial Engineering, Mechanical Engineering or Electrical Engineering- Professional certifications such as LEED AP, LFA, Professional Engineer (PE) or Certified Energy Manager- Experience with sustainability reporting frameworks (e.g., GRI, SASB, TCFD)- Knowledge of green building standards and sustainable design principles- Experience of vendor management and material supply chain.- Demonstrated success in driving sustainability improvements in large, complex organizationsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

As a Supply Chain Manager within Mid-term planning (MTP), you will have the opportunity to own supply chain planning at the highest level for Amazon’s fulfillment business. You will have a holistic view of supply and demand within the Amazon fulfillment network and be an integral part in creating and implementing large scale strategic initiatives in inventory optimization, transportation cost, labor capacity management and more – all with the goal of better serving our customers. There will rarely be a perfect solution, so it will be up to you to make data-driven decisions and manage stakeholder relationships while planning and executing within an ever-changing environment.The Supply Chain Manager will work in a fast-paced, fluid environment and communicate business conditions and decisions effectively with stakeholders across multiple groups and levels – from warehouse associates to various Amazon Directors and/or VPs. In this role, an MTP Supply Chain Manager will seek out problems, dive deep into data, earn trust of partner teams, and deliver results that can have a large scale influence. This role is to approach the plans through both an operational and strategic lens, that requires quick decision-making, with incomplete data, while also thinking big and influencing the long term direction of the network. The end goal of this role is to answer the question of how we can fulfill more products to our customers in a safer, faster, more efficient, and more cost-effective manner.Key job responsibilitiesDemonstrate strong customer focus Make sound business judgments to drive both tactical as well as strategic improvementsOwn programmatic execution at the detailed and strategic levelsIdentify, prioritize, and implement processes to eliminate defects in the supply chainCreate, develop, and drive solutions that lead to a richer end to end customer experienceExecute thorough root cause analysis and deliver resultsSuccessfully operate and influence in a cross-functional capacity- 2+ years of program or project management experience- 1+ years of supply chain experience- Knowledge of Lean principles and DMAIC methodology- Experience in MS Access and SQL- Experience in requirement gathering and ability to write clear and detailed requirement documentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $57,800/year in our lowest geographic market up to $106,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Freight is building a disruptive transportation product with the vision of redefining shipping for its customers. The goal is to develop easy-to-use, reliable and transparent transportation services that raise the customer experience bar relative to all existing shipping alternatives. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are building an exciting new business in this space and seeking a Business Analyst to support data analytics for Amazon Freight’s Less-Than-Truckload (LTL) business. This position requires high judgment, excellent analytical skills and a creative mind to invent solutions that improve the customer experience. It offers broad exposure to various business, operational, financial, product and technical teams across Amazon Freight.Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field- 1+ years of tax, finance or a related analytical field experience- 1+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.- Experience using databases with a large-scale data set- Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions- Experience using very large datasets- Experience working with Tableau- Experience scripting for automation (e.g., Python, Perl, Ruby)- Ability to apply analytical, computer, statistical and quantitative problem solving skills is required- Ability to work effectively in a multi-task, high volume environment- Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations- Analytical mindset and ability to see the big picture and influence othersAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $50,200/year in our lowest geographic market up to $107,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

This is an exciting opportunity to join a new emerging business in transportation. We are a startup team looking for a highly driven, entrepreneurial, analytical and customer-obsessed individual to help create and lead the Business Development strategy. The ideal candidate will be excited by launching a new program from the beginning of its life cycle, and will have familiarity with leading sales generation with both small and large customers. We are reinventing the approach to selling in this industry and looking for a candidate who can partner with Product Management and Tech as we challenge the status quo and invent on behalf of our customers.Key job responsibilities• Drive revenue, adoption and market segment share for our product• Earn trust of customers and recommend product solutions that fit their business needs• Measure performance, articulate root-cause analysis and make recommendations for improvement areas• Relay market needs and customer feedback to internal Amazon teams including Product Management and Technical• Create program goals and metrics, track progress and manage through obstacles to achieve your objectives• Assess risks, anticipate challenges and provide escalation management when necessary• Meet or exceed targets for customer and/or feature spend adoptionA day in the lifeEngage both internally and externally to Amazon to understand key customer painpoints, generate strategic and impactful solutions, and drive adoption via active sales tactics of your product line. - 3+ years of business development, partnership management, or sourcing new business experience- Bachelor's degree or equivalent- Experience using data and metrics to determine and drive improvements- Experience in online advertising or high-tech products/servicesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $83,100/year in our lowest geographic market up to $177,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Have you ever ordered a product on Amazon and, when that box with the smile arrived, wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon? If so, the Amazon Supply Chain Optimization Technology (SCOT) organization is for you. SCOT offers a unique opportunity to create and see the direct impact of your work on billions of dollars’ worth of inventory, within one of the world’s most advanced supply chains, at a massive scale.Watch this video to learn more about our organization, SCOT: the center of SCOT is our lab team. We own large-scale, in-production A/B testing systems to drive innovation in production systems. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assign it to the best warehouses to fulfill customer demand, optimizing long-term free cash flow for Amazon. Our experimentation platform is critical in driving continued optimizations to the many algorithms behind Amazon’s worldwide supply chain. We are hiring and are especially looking for Business Intelligence Engineers (BIE).Finally, here are some more reasons you might find this opportunity exciting:Being part of a team that is at the heart of the most sophisticated supply chain and decision-making system on the planet.Working at the intersection of analytics, science, and engineering to impact the Amazon user experience (by helping supply chain teams run experiments that allow for speed and same-day availability, for example), saving hundreds of millions of dollars using cutting-edge science and technology along the way.Being part of a team that values creativity and welcomes outside-the-box thinking (thinking big!).Being part of a team with a high emphasis on a positive work culture of collaboration.Being part of a fast-growing team with many growth opportunities.Key job responsibilitiesAs a Business Intelligence Engineer in SCOT Lab, you will solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, and business analysis. As a BIE in the SCOT Lab team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers to solve highly complex supply chain challenges.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Having knowledge of information retrieval, data science, machine learning, and data mining.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you excited to drive high-visibility, long term Supply Chain and Transportation plans to help Amazon meet future operational and analytics needs? Looking for a motivated individual with strong analytical skills, supply chain and transportation knowledge, and technology experience to join our Supply Chain Execution Planning and Analytics team as a Business Intel Engineer (BIE). This position partners with several functional groups such as supply chain optimization, fulfillment technology, sales and operations, transportation, and several other key stakeholders throughout the process. As a BIE, you will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility/high impact areas in the organization.Key job responsibilities - Use analytical and statistical rigor to solve complex problems and drive business decisions - Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX) - Develop deep-dive tools, UIs, metrics, and dashboards - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: The Amazon SCOT organization is expanding our Direct Fulfillment (dropship) business and we are looking for a Senior Business Intelligence Engineer to join the team. Direct Fulfillment helps provide Amazon customers the broadest in-stock selection, at the quality and speed of delivery they have come to expect from Amazon at the best possible cost structure for Amazon. Direct Fulfillment allows Amazon to fulfill customer orders directly from our vendor’s warehouse and is one of the fastest growing supply channels at Amazon. The ideal candidate relishes working with extremely large volumes of data, enjoys the challenge of highly complex technical contexts, and above all, is passionate about data and analytics to impact business decisions. They should have strong analytical skills, independently blend data from multiple sources, drive consensus and connect business to data. They must also be passionate about partnering with the data scientists, business analysts and other business stakeholders & dive deep to identify root causes and provide actionable insights.They should be comfortable with technologies like EMR, Redshift and have ability to author complex dashboards that enable business to cut through noise. They should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), excellent communication skills and enjoys working in a fast-paced and global team.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeKey job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities to driv data-driven decisions- Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling- Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $74,100/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.

As a Business Intelligence Engineer, you get a lot done. You work very efficiently and routinely deliver the right things. You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You have performed multiple complex, and business critical analyses that serve major parts of the business. Your work and your approach to work are exemplary – you drive best practices and set standards for your team. Other analytical individuals in your department regard you as an expert in one or more analytical areas.You show strong analysis making technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. When confronted with discordant views, you find the best way forward and convince your team. You are vocally self-critical. You proactively contribute to knowledge-sharing across the Amazon analytical community. You demonstrate resilience and navigate difficult situations with composure and tact. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide. We are looking for a Business Intelligence Engineer to help us extract meaning from large volumes of data to make the right business decisions. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are analytical and creative, and you don’t quit. Primary Responsibilities · Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. · Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities. · Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (eg data visualization tools for non-tech business users) · Interface with business customers, gathering requirements and delivering complete reporting solutions. · Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. · Participate in strategic & tactical planning discussions. · Standardize data and report consumption across all customer groups. · Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. · Be connected and influential within the Amazon analyst community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasetsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.