WA

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 support the efforts of the Intelligence Community’s mission by providing the highest availability, scalability and security requirements possible? Are you passionate to learn how to operate services at scale while deep diving issues and harnessing your customer obsession? If so, then look no further!!!Amazon is building some of the largest distributed systems in the world, and we need astute people to support and engineer the next generation of compute and storage platforms for our customer. Amazon’s IREO (Infrastructure Reliability Engineering Organization ) team provides support worldwide with a focus on continuous improvement. We have exceptionally high standards for our infrastructure as well as our employees, and our systems are highly reliable, highly available, and turn scale into an advantage for our business and an asset to our customers. Our employees are exceptional, driven to serve customers, and fun to work with.The IREO team is looking for experienced people who are willing to own solutions, insist on the highest standards for our customers and can both think of the big picture but dive deep into solutions when the situation warrants. The skills and traits we are looking for include:- Have strong Linux/Unix Systems Administration knowledge to include reading, understanding and execution of shell scripts- Work with internal Software Development teams to drive improvement of the systems/services within the team's scope- Be a focal point for the escalation for complex issues and dive deep for solutions as well as provide guidance and knowledge-sharing with your teammates- Work directly with the various service owners and hardware design teams to collaborate on hardware issues within the fleet- Ability to understand, execute and improve documented procedures and effectively generate documentation to communicate status- Identify areas to improve operational efficiency for all services through root cause and trend analysis with the identification and development of SLA, metrics, monitors, procedures, tools, and documentation- Have, or be willing to learn, the capability to automate day to day tasks and develop/build software and/or servicesThis position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities- Support software services before they go live in Amazon Dedicated Clouds through activities such as testing, integration and establishing key infrastructure- Maintain software services once they are live by measuring and monitoring availability and overall health of the environment - Scale systems sustainably through mechanisms, automation, and evolve systems by pushing for changes that improve reliability and velocity- Actively involved in hiring and building the AWS team- Effective communication with internal customers, coordinating between teams, developers, escalation points- Periodically support a 24/7 on-call rotationAbout the teamWhy 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.BASIC QUALIFICATIONS- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+- Current, active US Government Security Clearance of TS/SCI with Polygraph- 5+ years of administrative experience with Linux or cloud platform environments- Ability to read, understand and utilize existing scripts. ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. These services are trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including web and mobile applications, data processing and warehousing, storage, archive, and many others.We are looking for an applied scientist to help us define and build a new enterprise application. AWS Applications is building services in Supply Chain Management and is looking for a scientist to tackle complex science problems in Supply Chain including demand planning, supply planning and sustainability which will be used by our customers across a wide range of industries.We operate a fast growing business and our journey has only started. Our mission is to build the most efficient and optimal supply chain software on the planet, using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization, operations research, and machine learning to grow our businesses.As an Applied Scientist, you’ll design, model, develop and implement state-of-the-art models and solutions used by users worldwide. As part of your role you will regularly interact with software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models to improve state-of-the-art for time series. You will have the opportunity to work on our assistant solution allowing our users to ask data questions in natural language and get intelligent insights and exceptions.Key job responsibilitiesLead and partner with the engineering to drive modeling and technical design for complex business problems.Develop accurate and scalable machine learning models to solve our hardest supply chain problems.Lead complex modeling analyses to aid management in making key business decisions and set product direction.About the teamWhy 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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of programming in Java, C++, Python or related language experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with neural deep learning methods and machine learning ...

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.An Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a leader with strong technical expertise and a passion for developing science-driven solutions in a fast-paced environment. The ideal candidate will have a solid understanding of state of the art NLP, Generative AI, LLM fine-tuning, alignment, prompt engineering, benchmarking solutions, or CV and Multi-modal models, e.g., Vision Language Models (VLM), zero-shot, few-shot, and semi-supervised learning paradigms, with the ability to apply these technologies to diverse business challenges. You will leverage your deep technical knowledge, a strong foundation in machine learning and AI, and hands-on experience in building large-scale distributed systems to deliver reliable, scalable, and high-performance products. In addition to your technical expertise, you must have excellent communication skills and the ability to influence and collaborate effectively with key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.Key job responsibilitiesYou'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupAbout the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.BASIC QUALIFICATIONS- 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 ...

Are you excited about using decision (optimization), data (ML) and automation (AI) sciences to make multi-million dollar decisions more Data, Science, Analytics and Smart Technology Driven? Are you interested in price optimization, promotion planning and what-if simulations for to enable multi-scenario based in-period promotion and long-term financial planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!The Amazon Devices & Services, Demand Science Optimization team is seeking an outstanding scientist with strong analytical and communication skills to help with pricing optimization and promotion planning for the entire Amazon device family of products and services. Amazon Devices represents a highly complex space with 100+ products across several product categories that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices for sale both online and in offline retailers globally.We develop scalable and robust state-of-the-art deterministic and stochastic optimization models and algorithms, and what-if scenario planning simulation tools with (linear and dynamic) price optimization and promotion planning. We also build HOTW recommendation and decisions systems to deliver these results for our internal customers decision making processes. With better price optimization and promotion planning, we manage demand and drive down promotion and supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers globally.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering, Simulation, Recommendation Systems and Decision Making Systems.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 HOTW 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 Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.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, marketing, and operations 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 potentialA day in the lifeOur 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamThe vision for Cognitive Science Team is to deliver science-enabled HOTW demand planning and shaping solutions for Devices Product Lines to support our partners’ decision making processes. We will accomplish our vision by (1) utilizing accelerated applied science with optimization, simulation, scenario planning, Machine Learning and Generative AI (in 2025), (2) performing rapid research & innovation, developing incremental products, and automating processes, (3) developing optimized price and promotion planning, (4) developing high confidence long-lead time marquee unit demand forecasts for Amazon Devices.BASIC QUALIFICATIONS- 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 in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic ...

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.BASIC QUALIFICATIONS- 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 ...

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities* Apply your knowledge of LLM models to contribute to the development and implementation of machine learning solutions that address language translation-related challenges in the eCommerce space.* Collaborate with cross-functional teams, including senior scientists, software engineers, and product managers, to understand project requirements, map business goals to scientific problems, and help deliver high-quality solutions.* Conduct data analysis to identify patterns and insights, using reasonable assumptions and customer requirements to solve well-defined problems related to seller performance and customer experiences across international marketplaces.* Stay updated on current modeling techniques and methodologies, applying them under guidance to improve the accuracy and efficiency of language translation-related systems.* Communicate technical concepts clearly to team members and stakeholders, participating in discussions on proposed solutions and their potential impact.About the teamWe are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the CMS insights and experience. Build mind share “CMS Insights Suite” of pre-built dashboards that support tenants covering both retrospective and reactive reporting use cases including command center view. The suite will contain data dictionary of available metrics, dashboards and data catalog around routing, case/issue handling and workforce management themes. Launch the capability to tenants providing initial metrics coverage of 80% and ability to customize around routing and case handling sections.The Business Analyst will collaborate with Paragon Product team to build a metrics to measure Paragon experience. You will own the design, creation, and management of metrics, associated dashboards and datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions using statistical techniques or regression models to generate insights from the structured/unstructured datasets.A successful candidate will be highly analytical, an expert with SQL and excel, seek opportunities to inject advanced analytical techniques, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.Key job responsibilities• Leading complex data analysis projects to identify opportunities for improvement and optimization• Gathering and interpreting data from various sources to inform decision making• Developing and implementing solutions to optimize business performance• Creating data visualizations to communicate findings and monitor performance• Communicating findings and recommendations to senior management through presentations and reports• Mentoring and guiding junior team members in data analysis and process improvement methodologies• Assisting in the development and execution of strategic initiatives, metrics and contribution in analytical roadmaps.BASIC QUALIFICATIONS- 4+ years of business analyst, data analyst or similar role experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Strong analytical skills, with the ability to gather, interpret, and make insights from large amounts of data- Expert in SQL and data analysis- Experience with data visualization tools such as QuickSight or Tableau- Experience with statistical techniques, prepost analysis- Excellent communication and presentation skills, with the ability to convey complex information to a non-technical audience ...

Revolutionize the Future of AI at the Frontier of Applied ScienceAre you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated..Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.- Explore the vast potential of generative AI and its applications across industries.- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learningBASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Large Language Models, NLP, Natural Language Understanding, Generative AI, Transformers, Fine-tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering ...

Amazon is seeking an experienced Business Analyst to join our Selling Partner Experience (SPX) Finance team. In this pivotal role, you will serve as a critical contributor focused on driving financial planning, forecasting, and reporting to ensure visibility into the performance of our growing programs.The ideal candidate will have a proven track record of using advanced data analysis and SQL skills to provide strategic decision support. You will work closely with leadership to offer guidance, oversight, and support in this exciting and evolving space.As the Selling Partner business has rapidly expanded worldwide, we need to scale our financial planning and reporting models. In this role, you will focus on building and enhancing critical financial models, uncovering key insights, and communicating your findings to key stakeholders.In addition to your core analytical abilities, you will also contribute to the development of policies, processes, and tools to address Seller-facing challenges in collaboration with cross-functional teams. This position requires a critical thinker with strong organizational, problem-solving, and communication skills.At the heart of this role is a passion for using data to discover and solve real-world problems. You will have the opportunity to work in a fast-paced, ambiguous environment and directly influence the success of our Selling Partner Experience.Key job responsibilities- Build and maintain recurring metrics and reports.- Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems.- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.- Oversee financial reporting for your business area. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning. Use data to identify disruptive ideas and provide advice to business leaders across the globe. - Build financial model, sensitivity analysis and provide recommendations for new business initiatives.- Conduct impactful data analyses to identify opportunities, develop recommendations, and effectively communicate complex financial insights to drive critical business decisions through clear, concise, and tailored written and verbal presentations.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ years of business analyst, data analyst or similar role experience- Experience with SQL- Experience with Excel- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners. Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems. You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions. RESPONSIBILITIES- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps based on business problems.- Operate with significant autonomy to deliver results and achieve the goals and objectives of both your team and the broader organization.- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research identifying opportunities to improve the effectiveness of our support mechanisms and provide analytical recommendations to business teams.A day in the lifeYou will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Amazon Web Services (AWS) is seeking a Deal Lead for the Strategic Customer Engagements (SCE) team to help our customers accelerate out of their datacenters. SCE is a specialized global deal team that engages with commercial and public sector customers on deal strategy, structuring, and negotiations through contractual closure for transformational, strategic, large, complex, and/or highly competitive opportunities. AWS is focusing on bringing even more of our innovative products and services to a wider array of customers, faster than ever. To accomplish this goal, SCE is working with our customers to evaluate how we can accelerate moving Customer’s workloads faster to the AWS cloud (i.e., Accelerate to the Cloud from your Data Center (ACDC)). This is a unique opportunity to engage with AWS customers on strategic opportunities, increase the growth of AWS (Americas/EMEA/APJ), and to establish AWS as their key cloud technology provider. These opportunities range across industry verticals, such as Financial Services, Telecommunications, Media & Entertainment, Energy, Healthcare Life Sciences, Automotive and Manufacturing, and Public Sector, and customer size (from start-ups to enterprise customers). These engagements may also involve Pan-Amazon and AWS go-to-market opportunities involving close partnership between the SCE global deal team and other Amazon and AWS stakeholders. As a SCE ACDC Deal Lead, you will be responsible for developing the end-to-end holistic project strategy, including the implementation, modernization and value proposition to accelerate the customers AWS cloud adoption, and building a compelling business case for the Customer’s C-Suite. In addition, you will be responsible for managing the end-to-end Deal Cycle for strategic, large, complex or highly competitive deals. You will focus on earning trust with customers by creating actionable strategies, developing and shaping opportunities, and leading deal engagements through negotiations and closure. This highly visible role will own engagement with customer C-level executives, IT teams, and multiple lines of business to achieve business outcomes, increase the adoption of AWS services, and to enable private pricing, go-to-market, pan-Amazon, and other strategic relationships. You will work collaboratively to drive results by partnering with AWS customers, AWS field sales executives, AWS Partners and other internal stakeholders to empower our customers to evolve, address challenges, and to create innovative solutions.Open to Hire out of any AWS US Hub Location.Key job responsibilities* Lead early-stage customer engagement to qualify business requirements and deal strategy* Lead negotiations and customer closure for strategic, large, complex or highly competitive deals* Develop and shape the overall deal strategy and structure to meet customer business outcome and goals* Qualify and shape the customer business case to ensure viable deal commercials for all stakeholders*Contribute to developing AWS’s value proposition and solutions*Drive revenue growth and Cloud adoption*Closely collaborate with key stakeholders across the organization for (Americas/EMEA/APJ) regional sales teams, and related regional and global stakeholders (Service Teams, Finance, Legal, etc.)*Act as a trusted advisor in the development of the commercial strategy of deals with AWS Field Sales Executives: partner in the execution of the sales cycle for strategic, complex, or highly competitive commercial opportunities*Inspire, influence, and facilitate alignment with internal stakeholders, experts, and other resources not under direct control, to remove obstacles and achieve desired business outcomes*Develop strategies for pricing and discounts; effectively communicate and identify deal blockers*Lead or support presentation of deal proposals to CustomersDesired Experience*Background in the business development of complex outsource deals from early qualification through to closureAbout the teamDiverse 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 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.BASIC QUALIFICATIONS- 12+ years demonstrated success working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals (relative to industry and market size) from opportunity through closure - 12+ years of experience working with, presenting to, and negotiating with C-level executives, IT, lines of business, procurement, finance, and legal and internal stakeholders for sizeable commercial/enterprise deals - Bachelor degree in Business, Economics, Technology or Finance (or equivalent work experience) ...

We’re pioneering the development of a cutting-edge Seller Foundation Model designed to capture seller interactions, predict future behaviors, and simulate responses across varied conditions. Our goal is to enhance support for our diverse seller community and foster improved outcomes for both sellers and the broader Amazon ecosystem. We are looking for passionate innovators who are excited about technology, driven by customer experience, and eager to make a lasting impact on the industry.In this role, you'll collaborate with top-tier scientists, engineers, and technical program managers (TPMs) to drive innovation and deliver exceptional results for our customers. You will lead the effort to leverage Amazon's large-scale computing resources to accelerate advances in machine learning and foundation models. If you’re enthusiastic about joining a dynamic and motivated team, this is your chance to be part of an exciting journey. Apply now and help us shape the future of seller support at Amazon!BASIC QUALIFICATIONS- 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 ...

Our team's mission is to improve Shopping experience for customers interacting with Amazon devices via voice. We research and develop advanced state-of-the-art speech and language modeling technologies. Do you want to be part of the team developing the latest technology that impacts the customer experience of ground-breaking products? Then come join us and make history.Key job responsibilitiesWe are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech and Language technology.As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to drive the state of the art in speech synthesis.Position Responsibilities:* Participate in the design, development, evaluation, deployment and updating of data-driven models for Speech and Language applications.* Participate in research activities including the application and evaluation of Speech and Language techniques for novel applications.* Research and implement novel ML and statistical approaches to add value to the business.* Mentor junior engineers and scientists.BASIC QUALIFICATIONS- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations- PhD- Experience in Python, Perl, or another scripting language ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 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 ...

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.We are looking for smart scientists capable of using a variety of domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems in the space of Automated Reasoning and Artificial Intelligence. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other Amazon scientists and engineers. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve sometimes ambiguous and complex business problems.Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientist use our working backwards method to enrich the way we live and work.Key job responsibilities* Develop systems that can be used for automated software analysis and artificial intelligence* Develop core tools and algorithms that can be reused * Help lead the development of new ideas and mentor individualsAbout 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 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application 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 ...

Do you want to join an innovative team that is at the forefront of solving complex business problems? Do you strive to create customer-centric solutions that drive measurable results? Do you like to design and implement scalable end-to-end solutions built on sound process excellence principles? If so, the Selling Partner Support team is looking for a business analyst to build scalable data systems to create, analyze and report on key metrics that impact our Associates and Selling partners and editorial teams positively.We are looking for someone with a broad technical background in data analytics and analytics tools, strong business acumen, takes ownership of their work, and is focused on customer needs. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with internal and external teams to define and implement solutions that will yield benefits to associates and selling partners around the world.Key job responsibilities• Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analysis, dashboards, etc. to support analytical and business needs.• Work with team leadership to understand the customer needs and concerns as well as define solutions.• Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.• Use analytical and statistical rigor to solve complex problems and drive business decisions.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Design and drive experiments, A/B testing, outlier deep dives and form actionable recommendations. Manage the implementation of those recommendations.• Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Monitor and troubleshoot operational or data issues in the data pipelines• Review and audit existing data migration jobs and SQL queries.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel- Experience with data visualization tool Quicksight to build and populate dashboards ...

At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for Applied Scientists to drive innovation with Gen AI to bring paradigm shift to how the business operates and build “best in the world” experience that customers will love! Some of the science challenges we work on include fine-tuning Large language models, Reinforcement Learning, Auto-generating code from natural language and generating strategic insights and recommendations from very large datasets.You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system.Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We offer a playground of opportunities for builders to build, have fun, and make history!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 their cloud services.Key job responsibilities- Deliver real world production systems at AWS scale.- Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.- Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems.- Analyze and extract relevant information from large amounts of data and derive useful insights.- Work with software engineering teams to deliver production systems with your ML models- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationA day in the lifeDiverse 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 2+ years of CS, CE, ML or related field experience- 3+ years of building models for business application 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 ...

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).Key job responsibilities- Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.- Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.- Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.- Research and implement novel machine learning and statistical approaches.- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application 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 ...

We are looking for an Applied Scientist that will develop scientific algorithms, and deploy Large Language Model (LLM) solutions to improve the customer experience. The Applied Scientist will work closely with technology and product teams to solvebusiness and technology problems using scientific approaches to build new services that surprise anddelight our customers. As an Applied Scientist at Amazon, you will apply scientific principles to support significant invention, develop code, and will be deeply involved in bringing their algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon.Key job responsibilities- Develop scalable efficient solutions for customers using scientifically-based methods, LLM and decision making.- Help support production systems that take inputs from multiple models and make decisions in real time.- Automate feedback loops for algorithms in production.- Utilize Amazon systems and tools to effectively work with terabytes of data.A day in the lifeIf 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) PlanAbout the teamThe Shipping and Delivery Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application 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 ...

Amazon's Legal Department is looking for a talented commercial real estate lawyer to fill the position of Corporate Counsel – Real Estate supporting Amazon Web Services (AWS), a dynamic and rapidly growing business within Amazon.com. AWS is at the forefront of the "cloud" computing and service industry, providing IT infrastructure services such as on-demand compute capacity, storage, content delivery, database services, and more.As part of the AWS real estate legal team, you will be responsible for supporting AWS's worldwide data center expansion through land acquisitions and leasing. You will have transactional drafting and negotiating responsibilities on deals, and will provide legal counsel and contract interpretation to business team members on a daily basis. Transactions range from standard contracts to complex, bespoke, high value agreements. You will structure, draft and negotiate agreements, help support AWS real estate’s existing portfolio, manage outside counsel, and advise internal business clients. In addition, you will help develop, implement, and manage process improvements across the team, resolve legal issues that arise in existing commercial relationships, and handle pre-litigation legal disputes and inquiries.The successful candidate must be enthusiastic, enjoy working hard and being challenged, and demonstrate sound judgment even in ambiguous situations. Competitive salary based on experience and includes equity compensation.BASIC QUALIFICATIONS- 3+ years of legal experience- Juris Doctor and membership in one state bar or equivalent- Experience drafting and negotiating a variety of real estate transactional documents (i.e. leases, lease amendments, purchase and sale agreements, easements, development agreements, co-ownership agreements etc.) ...