Mechanical Engineer - Boston MetroWest, ECO Dash Cart Team

We are looking for a Mechanical Engineer to develop solutions that require significant innovation to push the state of the art in physical retail technology for the new Amazon Dash Cart and other confidential projects. Our team is based in the Boston MetroWest area. Amazon Dash cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. When you’re done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.Key job responsibilitiesAs a Mechanical Engineer within our team, you will engage with a skilled and accomplished cross-disciplinary staff to conceive and design innovative technologies. You will collaborate with internal and external stakeholders to drive key aspects of technology solution definition, execution and validation. Some of the key job functions of the mechanical engineer include: • Serve as technical lead and take design ownership of one or more major components or a subsystem through the entire product development life cycle. In addition to technical work, this often includes managing the development schedule for these components/systems.• Create detailed design specification and validation plans/documentation. • Build and evaluate prototypes to quickly iterate & improve designs thru rapid learning cycles.• Validate that subsystems and components meet product requirements, and solve problems when they arise.• Manage the technical relationship with 3Ps in concert with supply chain to deliver new components to the required specification and required schedule• Develop one or more areas of subject matter expertise to aid in developing and bringing products to launch – and share this with the team for everyone’s growth.A day in the lifeA day in the life: on a given day you will…a. dive deep into engineering design ownership: contributing to system architectures, creating components, creating proofs of concept, getting ready for prototype build cycles or tooling/component releases, preparing for design reviews, running simulations.b. Spend time in the lab: building & testing prototypes in collaboration with colleagues, leading investigations into issues.c. Provide input to the team in meetings and hallway conversation: reading peer documents and contributing to constructive debate about solutions to difficult challenges, contributing to the refinement of team best practices.About the teamOur Hardware-ME team is a mix of different experience levels and backgrounds – we all pride ourselves on being able to work on any challenge, across the different system functions and incorporating different engineering disciplines. But, we all also develop a specific subject matter expertise, mutually agreed upon with in the team, in order to grow our own (and the team’s) breadth and depth.BASIC QUALIFICATIONS- Bachelor's degree in mechanical engineering (or similar field) and 4+ years of experience in the consumer or industrial electronics industry as a mechanical design engineer- Experience with design tools including Solidworks and/or ProE/Creo- Exposure/Familiarity with FEA, DFMEA, and statistical analysis tools- Exposure/Familiarity with thermal analysis, product validation, and materials process validation- Prior experience with delivering products into mass production- Experience in engaging & working with vendors and suppliers to deliver in fast-paced technical environment ...

ML Data Associate II

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. We are looking for highly motivated and talented candidates who will review generated data demonstrations and provide human feedback to train LLMs. The ideal candidate must demonstrate strong analytical and communication skills, attention to details, and a commitment to excellence.Key job responsibilities:As an AI Content Writer you will be responsible for reviewing machine and human generated demonstrations in order to generate preference data for training purposes. The tasks will be clearly defined, but will require a high degree of judgement in each case. The candidate will work closely with support teams, review guidelines, suggest updates to those guidelines, and engage in team calibrations to ensure the highest quality of data generation. You will also be a part of other initiatives across process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:• Work on clearly defined use cases, but leverage a high degree of judgement to produce preference data.• Operate with autonomy• Leverage and demonstrate expertise in a wide array of competencies such as (but not limited to) Computer Science, Literature, Music, Mathematics, Economics and Travel• Identify issues and proactively report operational challenges• Identify process improvement opportunities (enhancements and pain points) at process/ function level• Demonstrate the ability to support small to medium scale process improvement projects• Contribute in mentoring / training junior data associates on an ongoing basis• Troubleshoot issues related to process and conduct root cause analysis if requiredKey job responsibilities• Create original and engaging content across multiple work types to train LLMs.• Write clear, concise, factually and grammatically correct responses that adheres to the Standard Operation Procedures (SOPs) and style guidelines to create visually appealing and effective content.• Proofread and edit content to ensure high-quality standards, accuracy, and consistency.• Research and verify content quality based on Content Guidelines. Approve or reject contents based on pre-defined guidelines and explain logical reasoning behind approve/reject decision.• Perform quality checks by reviewing and proofreading; provide feedback and training to coworkers and cross-company teams to ensure that quality standards are met.• Collaborate with cross-functional teams and other business units to monitor quality progress, investigate quality variations, develop and implement measures to drive quality improvement.• Develop a deep understanding of the subject matter expert (SMEs) for processes on the floor and collaborate with stakeholder teams to test new SOPs to gather insights, validate information, and ensure accuracy in content creation.• Support our leadership, business, and technical teams by actively participating in training, project/program management, etc., based on the group's needs and your own skills and inclinations.BASIC QUALIFICATIONS• Proven work experience as a Content Writer, Copywriter, or similar role.• Strong proficiency in English. Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension. ...

PMO Program Manager, Tech Deployment PMO

World Wide Tech Deployment (WWTD) is seeking an experienced and business oriented PMO Program Manager to join the Tech Deployment Global Project Management Office (TD PMO) team in driving the success of TD projects through understanding customer/business needs, creating mechanisms and analytics to support, and driving proper levels of reporting and compliance for our teams and leaders IN SUPPORT OF Governance, Risk management and Compliance for Tech Deployment process adherence, tool utilisation and data accuracy. Successful candidates will have Program and Project Management experience in with a focus on process improvement whilst possessing a good understanding of Governance and Compliance processes. Key job responsibilitiesAs a PMO Program Manager, you will be responsible for managing, analysing and reporting compliance of team members for process adherence, tool utilisation and data accuracy. You will be responsible for cross-org leadership communication as well as create status reports, trend risk analysis and governance policies. • Developing governance and compliance processes across multiple teams in line with the organisations needs.• Reporting business risks to senior leadership through trend analysis• Responsible for long term growth opportunities and risk identification, planning, communication and partnering with internal and external teams.• Works independently and in a group-setting, anticipates follow-up questions and responds with supporting data• Excellent communication, both verbal and written as you will be required to write policies, status reports, leadership report-out, update WBR/MBR/QBR documentation.• Working closely with external teams to implement corporate mandate process improvement within the organisationAbout the teamThe TD Global PMO is a centralized team responsible for overseeing and standardizing project management practices across the entire organization on a global level. The team is responsible for end to end business management from global intake, staffing models to project compliance. TD PMO provides guidance, support, and best practices to internal teams to ensure successful delivery of projects that meet business objectives, timelines, and budgets.BASIC QUALIFICATIONS- 3+ years of program or project management experience- 3+ years of defining and implementing process improvement initiatives using data and metrics experience- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL- Experience using data and metrics to determine and drive improvements- Experience working cross functionally with tech and non-tech teams ...

Principal Applied Scientist, AGI Automations

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative principal applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Principal Applied Scientist within the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of AI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in order to provide the best-possible experience for our customers.About the teamOur team has a mission to push the envelope of AGI, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, with 10+ years of combined academic and research experience. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills ...

Principal Tech Program Mgr, PXT Empl Onboarding & Admin - Jobs Domain

Interested in working with the latest technology in the cloud computing space to impact millions of people? Interested in building technology to support 3,000,000 of your co-workers across both corporate teams and the Fulfillment and Transportation Networks? We are building cutting edge solutions to revolutionize the way we think about managing our workforce. We re-imagine technology to empower leaders of all levels to scale and grow their teams and support employees throughout their careers. Our team uniquely combines the highest standards of technology – architecture, scalability, reliability and performance with Amazon’s desire to be Earth’s Best Employer.Each day you come into work, you get to learn from some of the smartest people in the world, solve hard and interesting problems, and help move the needle at Amazon scale. Come join us and be a part of the Amazon story!Key job responsibilities- Identify, create, and execute on mechanisms to improve roadmap prioritization, transparency, efficiency, communication, collaboration, and customer satisfaction for 6+ software teams and product and science partners- Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs against technical constraints across Director and VP level organizations- Drive communication with Director and VP level stakeholders and leaders- Create a culture of innovation, encouraging teams to find new and better ways to identify and solve problems.- Build consensus and define architectural strategies across Director and VP level organizations- Coach and mentor other TPMs to foster a supportive culture of collaboration and delivery to high standards- Get support and mentorship from principal and senior leadershipAbout the teamInclusive Team CultureOur team is diverse! We are intentional about attracting, developing, and retaining talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a 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. We care about your career growth and strive to assign projects based on what will help each team member grow towards their career goals.BASIC QUALIFICATIONS- 7+ years of technical product or program management experience- 10+ years of working directly with engineering teams experience- 5+ years of software development experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

Privacy Specialist, Workplace Trust: Privacy, AI, and Risk

Come build the future of privacy with us! To get there, we need exceptionally talented, bright, and driven people. We work in a fast-paced environment across multiple industries, never losing our passion for customers. As a member of the Workplace Trust: Privacy, AI, and Risk team, you will play a key role in operationalizing privacy across Amazon’s global employee, candidate, and contingent worker populations. This includes engaging with multiple stakeholders across the enterprise to help ensure compliant outcomes. You will be responsible for consulting with key stakeholders to drive alignment with global privacy regulatory requirements, including CPRA and GDPR. In the execution of Amazon’s global privacy obligations, you will rely heavily on your subject matter expertise, as well as your case management, analytical, and relationship building skills to develop and deploy innovative strategies for data protection. The identified candidate will demonstrate proven experience to: support diverse stakeholders; evaluate control effectiveness; understand levels of potential risks and how to address them; provide in-depth consultation; and have the ability to synthesize diverse data to identify patterns, draw conclusions, and prioritize remediation efforts using risk management concepts. Excellent writing skills are required as the output for this role will be documentation that aligns to privacy regulations worldwide. The ‘day-to-day’ aspect of this role will be to review internal Amazon systems for compliance with global privacy obligations. As part of this you will provide proactive guidance for upcoming tech builds and roadmaps, work with senior leaders on acceptable business risk when applicable, and track remediation actions as needed. You will be responsible for knowing the privacy risks of systems, and ensure the system owners follow the correct paths to full compliance. After reviewing each system, you will be responsible for creating a Data Protection Impact Assessment (DPIA) and Record of Processing (RoP) for regulatory need. Key job responsibilities* Consult with global legal, finance, benefits, IT, information security, and HR policy, process, vendor, and application owners to ensure that sound protocols are in place to mitigate privacy risks. * Monitor known and emerging risks, measure internal control effectiveness, and develop and own action items to remediate identified risk issues. * Socialize and secure commitment for remediation and risk management strategies. * Develop deep knowledge of employee privacy obligations and data privacy processes and solutions utilized by Amazon. * Assess areas for privacy program improvement and implement solutions.* Consult on the development of business requirements for new system implementations and enhancements. * Draft written narratives to communicate obligations, risk analyses, and recommendations. * Inventory risk and compliance obligations in a governance, risk and compliance (GRC) system framework. * Prepare other supporting documentation such as manager and employee communications, FAQs, and standard operating processes. * Respond to questions and troubleshoot issues. * Manage other risk and compliance related projects, as needed, to systematically reduce privacy risks. * Ability to travel up to 10% including international destinations.BASIC QUALIFICATIONS* Significant experience in a privacy, legal, compliance or risk management role* BA/BS degree or equivalent experience ...

Research Scientist II, Amazon Dash Cart

The Amazon Dash Cart team is seeking a highly motivated Research Scientist (Level 5) to join our team that is focused on building new technologies for grocery stores. We are a team of scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping.The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.Key job responsibilitiesAs a research scientist, you will help solve a variety of technical challenges and mentor other engineers. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamAmazon Dash cart allows shoppers to checkout without lines — you just place the items in the cart and the cart will take care of the rest. When you’re done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets ...

Research Scientist, Artificial General Intelligence - Data Services

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.Key job responsibilitiesSpecifically, the Research Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.• Clean, analyze and select speech/language/other data to achieve goals• Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions• Work with engineers to develop efficient data querying infrastructure for both offline and online use casesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience in Python, Perl, or another scripting language- Experience with various machine learning techniques and parameters that affect their performance- Experience analyzing both experimental and observational data sets ...

Safety Engineering Risk Manager , World Wide Technology Deployment (WWTD)

Are you inspired by invention? Is problem solving through teamwork in your DNA? We apply advances in robotics and software to solve real-world problems that delight our customers' experiences in ways we can't even imagine yet.Amazon Robotics is located in the greater Boston area, the epicenter of robotics innovation. Our diverse team of engineers come from all over the world to design, test and build our dynamic fleet of robots and mechatronic systems. Having our offices, labs, test floors and factories all co-located means that we can design the hardware, write the code, test, build and watch it all come to life. This allows us to innovate quickly and on limitless ideas. Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.The World-Wide Technology Deployment (TD) team is looking for an experienced Safety Engineering Risk Manager to be responsible for the deployment of new technologies and products in a safe, ergonomic and efficient manner in Brownfield (BF) or Live sites. This individual will also support day-to-day monitoring of Tech Deployment Safety Programs and initiatives. The candidate will assist in reviewing safety compliance and drive proactive identification of potential safety hazards for TD, our partners, and impacted teams within the Amazon workplace. The individual will take the lead in promoting safety awareness and education across TD BF sites and labs and be hands-on with the product and deployment teams we support. We are looking for someone that is passionate about Safety, can identify risks and opportunities, and owns driving improvements while engaging Operations teams and other stakeholders. Key job responsibilities• Evaluate new products and technologies and provide guidance to engineering and development teams to allow those products to be installed/deployed safer, more ergonomically and/or more efficiently in BF sites.• Contributing to the TD Safety Team to ensure delivery of safety performance in line with personal, team and functional goals and objectives, facilitating and/or arranging training programs on critical safety issues• Supporting the business to ensure compliance to local and international legislation and the implementation of safety programs.• Ensuring that systems are kept accurate at all time with completed incident reports and all required supporting documentation, with metrics compiled on key data points to help the TD Safety Manager prepare/issue regular and ad hoc reports and metric documents• Partnering with Site WHS, GESS and other affected teams to report and investigate incidents and/or near misses and ensure documentation.• Supporting TD Contractor management, pre-qualification and the execution of the Safe System of Work (SSOW) developed to perform Contractor work in BF sites.A day in the lifeAs a Safety Engineering Risk Manager, you will take a lead role in implementing, monitoring, and evaluating new products and technologies to ensure compliance with Amazon and industry safety policies and expectations in order to provide a safe and secure workplace for employees and partners. You will be responsible for maintaining safety documentation, requirements and reporting as well as leading and/or participating on safety committees, programs and initiatives. You will work across Amazon team to perform work task risk assessments and develop safety standard work in conjunction with our engineers, designers, and associates. In the event of issues or escalations you will investigate and report on situations and ensure proper actions are captured and closed out. You will pull teams together as a Subject Matter Expert (SME) to conduct Root Cause Analyses in conjunction with Operations leadership and our deployment teams. In support of our field activities you will perform site physical condition safety observations, associate safety behavior observations, as well as audits and inspections in relation to fire and safety related equipment. About the teamWorld Wide Technology Deployment (WWTD) offers services to our global customers to realize the full value of automation solutions. We deliver safe, efficient, and high quality integrations at scale to meet emerging network and business needs. We do this by partnering with upstream and downstream customers to innovate and perform rapid experimentation. This accelerates the maturity of complex solutions throughout the product lifecycle to enable simplified execution.BASIC QUALIFICATIONS- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience- Bachelor's degree or equivalent- Experience handling confidential information ...

Sales Account Manager, Nutrition, Batteries, Multi-Brand Sellers

Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.We’re looking for a results oriented Account Manager who is passionate about partnering with our advertisers, educating them and helping to solve ambiguous business problems, mitigating risks before they become roadblocks. As an Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customer to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Retail partners and will drive process improvement to gain efficiency and foster collaboration. The Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Key job responsibilitiesResponsibilities• Become a knowledgeable partner on Amazon Advertising solutions• Develop annual brand and media strategies for growth based on overall advertiser goals/objectives• Develop campaign strategies and audience targeting recommendations per brand and product line• Evaluate KPIs and optimize campaign performance using a data driven approach• Perform in-depth data analysis to deliver actionable insights & recommendations that influence short term / long term digital media strategy• Educate advertisers on performance metrics, insights, and how to achieve greater results on Amazon• Work cross-functionally with sales and other Amazon partners to drive incremental revenue and increase advertiser satisfactionBASIC QUALIFICATIONS - 5+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc. - Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing - Adept at solving problems that span business and technology - Influence process improvement that scales broadly; inventing and simplifying within existing processes ...

Security Software Engineer, Alexa & Fire TV Security

The Devices and Services (D&S) Trust & Security team works to ensure that our devices and services are designed and implemented to the high standards required to maintain and enhance customer trust. Security and Privacy are paramount to maintaining trust and we need to continue to build trusted products, maintain and operate trusted environments, and advocate trust to customers and stakeholders. The team develops security automation for devices & services, performs penetration testing, and handles and tracks incident responses to resolution. The Trust team is responsible for enabling business growth and innovation while honoring data policies and controls that help protect customer trust. We are responsible for defining and executing on the security and privacy requirements across the entire organization.Key job responsibilities• Design and build reusable, maintainable, and performant software consistent with Amazon standard technologies (Java, JavaScript, React, AWS etc. ).• Adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.• Perform DevOps in a production environment by automating the design, coding, and deployment of infrastructure within an AWS environment. This includes developing CI/CD pipelines, instrumenting code to report relevant metrics, and building safe and efficient build processes.• Collaborate with Security Teams to understand the latest security best practices and incorporate them into the product design and development• Implement secure-by-design principles to ensure the new techniques and tooling are designed with security in mind from the ground up. This may include secure authentication and authorization, data encryption, input validation, and secure communication protocols• Collaborate with cross-functional teams (e.g. data scientists, product managers) to identify and solve complex AI/ML problems• Ensure AI/ML systems adhere to security, privacy, and ethical standards• Continuously monitor and improve the performance and reliability of AI/ML systems in production• Contribute to the development of reusable AI/ML frameworks and libraries• Build data pipelines and infrastructure to support the development and deployment of AI/ML applications• Work with big data technologies to build robust data pipelines, run complex queries, and leverage ETL (Extract, Transform, Load) tools such as SQL, AWS Glue, Athena, and PySpark.A day in the lifeCandidates must have a mix of communication and strong technical skills, comfortable white boarding security implementation techniques, and must be able to engage with different levels in the organization. Previous experience with Alexa is desired but not required, provided you have experience building production quality and secure technologies. You will get the opportunity to work directly with senior security and software engineers in Amazons AI Security organization, influencing their roadmaps and driving innovation.About the teamDiverse ExperiencesAmazon Security 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.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to buildexperience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience ...

Senior Account Executive, PubSec NP - SMB

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Key job responsibilities• Deliver accurate weekly reporting on pipeline and customer spend adoption, including account status updates and insights learned during deployment• Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges• Drive and accelerate spend adoption by advising customers on best practices for using Amazon Business solutions• Focus on automating service needs for customers, while working with Product and Technical teams to develop solutions that will increase solution adoption• Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teamsAbout the teamThe Amazon Business Nonprofit team is dedicated to developing solutions inclusive of an expanded online store that combines the selection, convenience, and value customers have come to know and love from Amazon, with new features and unique benefits tailored to 501c3 Nonprofit customers. The ideal candidate will have relevant B2B consultative sales experience and have a proven track record of meeting and exceeding program goals and revenue targets.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 5+ years of B2B or enterprise sales with a focus on hunting new business experience- Demonstrated track record of owning the sales life cycle including identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of positioning and selling solutions to new and existing customers and market segments ...

Senior Applied Scientist , Automated Reasoning Group

The Automated Reasoning Group is looking for a Senior Applied Scientist with expertise in programming language semantics and deductive verification techniques (e.g. Lean, Dafny) to deliver novel code reasoning capabilities at scale. You will be part of a larger organization that develops a spectrum of formal software analysis tools and applies them to software at all levels of abstraction from assembler through high-level programming languages. You will work with a team of world class automated reasoning experts to deliver code reasoning technology that is powerful yet accessible to all developers.About the teamAWS 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 their cloud services.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. Why AWS?Amazon 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.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. 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience in formal verification tools and techniques, such as theorem provers (Dafny, Lean), SAT-SMT solvers ...

Senior Applied Scientist, AGI Information

The Artificial General Intelligence (AGI) Information team is looking for a passionate, and talented Senior Applied Scientist with a strong experience in cutting-edge LLM technologies. We are a hybrid team of scientists and engineers focused on building visuals (composed of graphics, images, text, etc.) that are integrated into conversational question answering experiences. Key research areas for the team include agentic workflows and code generation capabilities of large language models (LLMs) for generation of visual responses to questions.If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience working in high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions. About the teamIt's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior Applied Scientist, Artificial General Intelligence

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.About the teamThe AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior Applied Scientist, Global Logistics

Amazon's Global Logistics (GL) team is seeking an experienced Senior Applied Scientist to research and deploy production solutions for transportation Pricing, Downstream Impact (DSI), and Network Flow. In this role, you will contribute to our vision of offering best-in-class global transportation capabilities for FBA Sellers and Retail Vendors, enabling them to ship efficiently from their locations to Amazon warehouses worldwide. Your work will help lower the cost structure for Amazon and our shippers, while also improving selection and availability for Amazon's consumers by simplifying complex global supply chains and replenishing inventories faster.Key job responsibilities- Collaborate closely with product managers, research scientists, operations leaders, and technical leadership to build cutting-edge transportation capabilities.- Analyze large datasets, develop end-to-end workflows, prototype optimization and machine learning models, and launch production-ready solutions.- Communicate your research findings and provide scientific guidance to the business, influencing our product strategy and roadmap.- Conduct experimental research that will inform future investment areas for the transportation business.A day in the life- Reviewing and refining the requirements for a new transportation pricing model with the product management team.- Conducting exploratory data analysis to uncover insights that can inform the design of the pricing algorithm.- Building and testing optimization prototypes, iterating on the model based on performance metrics.- Presenting your progress and initial findings to senior leadership, soliciting feedback to shape the next phase of development.- Collaborating with the engineering team to ensure a smooth transition of the model into production.About the teamYou will be joining the Network Economics, Research and Data Science (NERDS) Team, which supports GL's transportation business for North America (United States, Canada, and Mexico). The team's research focuses on developing solutions to improve transportation pricing, costs, speed, shipper support, fraud/theft prevention, shipment visibility, and delivery appointment scheduling for Amazon warehouses.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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 3+ years of building machine learning models or developing algorithms for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior Applied Scientist, Worldwide Grocery Stores Technologies

The WWGST (Worldwide Grocery Stores Tech) teams are seeking a highly motivated Senior Applied Scientist (Level 6) to join our team that is focused on building new technologies for grocery stores. We are a team of applied scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping such as Dash Cart or Self-CheckOut. The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011.Key job responsibilitiesAs a Senior Applied Scientist, you will help solve a variety of technical challenges and mentor other junior scientists. You will be leader of the applied science team to resolve the hard problems. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamDiverse 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.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.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior HRBP, Foundational Data Services, AWS People Experience and Technology (HR)

Are you looking for the chance to work in a fast-paced environment while supporting cutting-edge technology services used by millions of customers? We are seeking a dynamic HR professional to join our Amazon Web Services (AWS) Human Resources team as a Sr. HRBP for Foundational Data Services (FDS). You’ll partner the VP, AWS Migrations and Modernization and the Director, File and Object Storage Services. Modernization and Migrations organization is reimagining how customers migrate their data, workloads, and applications to the cloud using AI, making it simpler and faster to reap the benefits of being on the cloud. Customers use AWS storage services to reliably and cost-effectively store and access their data at scale, enabling a wide range of applications and workloads, from big data analytics to machine learning, with the flexibility and durability required for modern computing needs.The ideal candidate will have experience partnering with senior leaders on their people agendas spanning talent, culture, workforce, and transformation. We are looking for an HR practitioner with deep curiosity for the business and the ability to leverage that understanding to support the organizations' future strategy and talent needs. You'll help business leaders make data-driven decisions, lead and facilitate change, and deliver high-impact solutions in a rapidly evolving, complex environment. You’ll also partner closely with talent acquisition, DEI, workforce planning, compensation, and other teams to build strong teams and deliver on cross-company initiatives.Key job responsibilities• Set HR strategy and goals, integrating Amazon/AWS-wide-priorities.• Partner with the business on organizational design, workforce planning, succession planning, skills assessment and development, and other initiatives to optimize for business objectives.• Provide impactful coaching to guide business leaders and senior managers.• Leverage data-driven analysis to influence business partners with compelling recommendations.• Partner with global HR teams to support business unit needs and contribute to global HR initiatives.• Lead HR projects and key initiatives in collaboration with peers across the organization.BASIC QUALIFICATIONS· Bachelor’s degree, or equivalent experience · 7+ years of experience in an HR generalist leadership role· Strong judgment and experience coaching senior leaders. · Broad experience and specific knowledge of human resource theory, including employee relations, learning, and performance management. · Excellent written and verbal communication; high quality document preparation, data visualization, and facilitation skills ...

Senior Machine Learning Engineer , AGI Structured Information Retrieval

The AGI Structured Information Retrieval team develops the services required to query the Amazon Knowledge Graph (AKG), an LLM-optimized, foundational component in the AGI tech stack, using Natural Language.As our Sr. MLE, you'll have the power to lead the charge in developing algorithms and modeling techniques to push the boundaries of model training and deployment at scale.Key job responsibilities* Ability to quickly learn cutting-edge technologies and algorithms in the field of ML to participate in our journey to build the best NL to Structured retrieval service.* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying ML models for real-world applications.* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to develop and scale machine learning models.A day in the lifeAs a Senior MLE, you will be working with a strong team of engineers and collaborating with applied scientists to develop novel processes for constructing and enhancing structured information retrieval systems; and enable high precision/recall & low latency access to knowledge in AKG.For this role we expect: - 5+ years of professional software development experience in distributed systems with emphasis on ML infrastructure- 5+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust- Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc- Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up- Knowledge of emerging AI hardware accelerators and architectures- Experience with containerization and orchestration technologies (Docker, Kubernetes)BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...

Senior Machine Learning Engineer, Generative AI

Work on State of the Art runtime systems hosting cutting edge Large Language Models (LLM). We work in a fast paced dynamic environment to rapidly experiment and deliver scaled runtime solutions based on cutting edge experiments and research in the LLM space.Key job responsibilities- Design, develop, test and deploy inference solutions for high-end LLMs- Explore emerging inference optimization techniques- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems- Mentor and guide junior engineers, and contribute to the overall growth and development of the teamBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...