Careers

Job summaryMULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: Applied Scientist IIWorksite: Sunnyvale, CAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Job summaryAre you passionate about automated reasoning and program analysis? Do you enjoy creating software that is both high performance and formally verified? If so, then we have an exciting opportunity for you. The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist who wants to formally verify low-level implementations of high-performance cryptographic algorithms as well as develop the automated reasoning tools required to do so. You will be part of a larger organization that develops formal software analysis tools from model checkers to deductive theorem provers and applies them to software at all levels of abstraction from assembler through very high-level languages like Dafny.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.About the teamYou will be working with a team of formal verification specialists as well as software development engineers. You will work collaboratively to deliver results in the form of verified code and tools to accelerate code verification for our customer teams. Our vision is to provide solutions that are proven correct without compromising performance.

Job summaryHave you ever wondered how Amazon selects the offer(s) for a given product from potentially hundreds of sellers selling the same item? It is one of the most critical models in Amazon and one of the most visible ones on the web. Whenever you see price, anywhere on Amazon, in any locale, it is calling this model at the backend. This is an opportunity to work with the team, Offers Experience, that develops and maintains this model. It drives one of the most coveted real estate in the e-commerce industry, the “Offer Display” across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide. The team's vision is to simplify Amazon shopping experience by helping customers discover and evaluate offers to find the right option for their shopping journey. We use Machine Learning models to select, rank and feature the most relevant offers to customers. Our model serves hundreds of millions of Amazon customers and handles millions of requests per second for hundreds of millions of products and billions of offers across the world.We are looking for an Applied Scientist to join this high impact, high visibility team. You will lead the development and expansion of the next generation of the featured offer selection models. These new models will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You will work with multiple Amazon businesses and programs to identify big business opportunities and propose new business features and technical systems to improve customer experience. As a team, we own the end-to-end life cycle of models – estimation, simulation and experimentation. Your work will cut across various sub-disciplines like Causal Inference, Bayesian Hierarchical Models, Counterfactual Estimation and Evaluation, Multi-armed Bandits, and High-dimensional Multivariate Experiments. You will be responsible for the quality of the model and will get the opportunity to present your ideas and share results of your deliverables with Amazon executives and Amazon scholars on a regular basis. As a senior scientist, you will be collaborating with junior scientists to define and enforce broad, company-wide technical standards in statistical modelling, optimization and simulation techniques.Why is this a great opportunity?• We impact the global Amazon retail business: We are at the center of Amazon's retail universe. We work closely with other Retail teams like, BuyX, Search, Pricing, Cart, Checkout, Delivery Experience, Ultra Fast Grocery, Subscribe-n-Save, etc. You build systems that are used every time a customer sees any item on the Amazon website (globally) and helps them to make purchase decisions. As a result, your work will earn and preserve the customer trust. Our impact is typically measured in hundreds of millions of dollars.• We are diverse: Our team is diverse in terms of expertise (SDE/Scientists/Economists/Data Engineer/Product Manager), nationality (10 countries), experience (college grad to industry veteran), tech-stacks (AWS frontend and backend, Datapath), and office locations (Seattle, Bangalore, Berlin, Vancouver).• We prioritize learning: Work alongside some of Amazon’s smartest engineers, scientists, economists, and product managers. We have one Principal Economist and one Principal SDE in the team to learn from. We regularly take ML courses and present/teach at internal and external forums. We innovate, publish at Amazon Machine Learning Conference (AMLC), and file patents. We regularly review our models with academics like Michael Jordan, Guido Imbens, and our Chief Economist, Pat Bajari.• We ensure work-life balance: Our team works together to provide work-life balance for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we are all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives.• We grow people: In H2 2021 alone, our org promoted 21 employees including a couple of L7 (principal) promotions.• We have fun: We find ways to relax and unwind with team events and group lunches.• We offer location flexibility: We are open to team members working from other locations as long as it is in the same country.If you are ready to truly make an impact on a product that is used by hundreds of millions of people around the world, including your own friends and family, then we would love to talk to you.Key job responsibilities• Drive the scientific vision of the team. Identify, tackle and propose innovative solutions to intrinsically hard problems.• Keep abreast of academic and industry trends – know the state-of-the-art. Build on top of existing solutions and re-use instead of re-inventing when possible.• Be a pragmatic problem solver, applying judgment and experience to balance the technical trade-offs and how the applied scientific solution is positioned with respect to the state-of-the-art.• Research and implement novel ML and statistical approaches to add value to the business.• Mentor junior engineers and scientists.

Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 3-month internship to join AR full-time (40 hours/week) from May 22, 2023 to August 25, 2023. Amazon Robotics internships opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.About the teamWe are seeking data scientist interns to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.

Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.This opportunity is for the Advertising Forecasting Science team, which consists of scientists and engineers based in Palo Alto, California and New York City. The team builds forecasting models for advertising campaigns and financial planning, with revenue exceeding tens of billions of dollars. In addition, the forecasting science team makes auction prediction and handles bid optimization for billions of requests per day, impacting the company’s performance directly using advanced Machine Learning algorithms.As a Senior Research Scientist, and team leader, you will:Drive data science (machine learning) projects end-to-end - from ideation, analysis, prototyping, development, metrics, and monitoring.Conduct deep analyses on massive Ad user and contextual data setsPropose viable modelling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results.Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions.Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting.Stay familiar with the field and apply state-of-the-art Machine Learning techniques to our domain problems, around forecasting, bidding, allocation, and optimization.Produce peer-reviewed scientific paper in top journals and conferences.Present results, reports, and data insights to both technical and business leadership.Work across teams and lead a group of talented scientists and engineers to solve problems in the domains of forecasting, auction theory, bid optimization, and user clustering.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE

Job summaryThe Amazon Product Classification and Inference Services team is seeking a Sr. Applied Science Manager for leading initiatives for understanding, classifying and inferring product information. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and merchandise products across the Amazon e-commerce catalog worldwide. You will lead a team of experienced Applied Scientists (direct reports) and also a Manager of Applied Science to create models and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML techniques that can drive classification of products with a high precision and scale to new countries and languages. The leader will drive investments in cutting edge machine learning: natural language processing, computer vision and artificial intelligence techniques to solve real world problems at scale. We develop Deep Neural Networks as our your daily job and use the team's output to affect the product discovery of the biggest e-tailer in the world. The research findings are directly related to Amazon’s Browse experience and impact million of customers. The team builds solutions ranging from automatic detection of misclassified product information in the ever growing Amazon Catalog, applications for inferring and backfilling product attributes (processing images, text and all the unstructured attributes) in the Amazon catalog to drive true understanding of products at scale. We are looking for an entrepreneurial, experienced Sr. Applied Science Manager who can turn a group of Machine Learning Scientists and Managers (PhD's in NLP, CV) to produce best in class solutions. The ideal candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry.Key job responsibilitiesIn this team, you will:Manage business and technical requirements, design, be responsible for the overall coordination, quality, productivity and will be the primary point of contact for world-wide stakeholders of programs and goals that you lead.Partner with scientists, economists, and engineers to help deliver scalable ML scaled models, while building mechanisms to help our customers gain and apply insights, and build road maps for the projects you own.Track service levels and schedule adherence, and ensure the individual stakeholder teams meet and exceed their performance targets.Be expected to discover, define, and apply scientific, engineering, and business best practices.Manage and develop Scientists (direct reports and a Science Manager with a respective team).A day in the lifeYou will lead an Amazon team that builds creative solutions to real world problems. Your team will own devising the strategy and execution plans that power initiatives ranging from: classifying all Amazon products, fact extraction, automatic detection of missing product information, active learning mechanisms for scaling human tasks, building applications for understanding what type of information is critical, building mechanisms to analyze product composition, ingest images, text, and unstructured data to drive deep understanding of products at scale. About the teamThe team's mission is to infer knowledge, understand, classify, derive product facts for all Amazon products entering the Catalog. The work is critical to power the Amazon Taxonomy, Search, Navigation and Detail Page experiences, impacting million of customers. This is an already formed team with experience leading programs spanning services and ML initiatives supporting all countries and languages. The leader collaborates closely with Software Managers, Sr. Leaders, and has exposure to multiple peer teams at Amazon who rely on this team's developments.

Job summary**This job is also open for New York and Palo Alto**This position will be part of the Marketplace Intelligence organization within Sponsored Products. Our team focuses on determining operating points of Sponsored Products to provide efficient and customized shopping experience for shoppers and increased discoverability and business growth for selling partners by developing new measurements, economics methodology, and state-of-the art machine learnt optimization technologies. Our systems, algorithms and strategies operates on one of the most sophisticated advertising marketplaces that evolves from impression to impression and changes from one marketplace to another, across segments of traffic and demand. Key job responsibilitiesAs a seasoned leader, you will build and manage an inter-disciplinary team with scientists, economists, and engineers to develop and manage monetization controls for SP marketplace. The leader will set the vision of pricing strategy, build engineering system and large scale machine learning and optimization models. These models will continuously change operating points based on the feedback of marketplace, shopper and advertisers.This is a rare and exciting opportunity to be a trailblazer at the intersection of cutting edge science, economics, game theory and engineering to impact millions of advertisers. As a hands-on leader of this team, you will be responsible for defining long term business strategies, answer key research questions, discover investment opportunities, develop and deploy innovative machine learning solutions and deliver business results. You will also participate in organizational planning, hiring, mentoring and leadership development. You will be technically fearless and build scalable science and engineering solutions.

Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 3-month internship to join AR full-time (40 hours/week) from May 22, 2023 to August 25, 2023. This Amazon Robotics internship opportunities will be Hybrid (2- 3 days onsite) and based out of the Greater Boston Area in Westborough, MA. The campus provides a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.About the teamWe are seeking data scientist interns to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.

Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 3-month internship to join AR full-time (40 hours/week) from May 22, 2023 to August 25, 2023. This Amazon Robotics internship opportunities will be Hybrid (2- 3 days onsite) and based out of the Greater Boston Area in Westborough, MA. The campus provides a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.About the teamWe are seeking data scientist interns to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.

Job summaryThe Amazon Devices Demand Science team is looking for an energetic, focused and skilled, truly innovative and technically strong research scientist with a background in data analytics, machine learning, data science, decision science and statistical modeling/analysis to help with demand forecasting and planning for the entire Amazon device family of products, services and accessories.Amazon is looking for a talented Senior Research Scientist to join the Amazon Devices team. We materially impact Amazon’s device businesses by forecasting demand, influencing promotion pricing and identifying optimal inventory allocation of all Amazon Devices using ML, operations research and big data.Key job responsibilitiesIn 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 and ML models, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be responsible for researching, prototyping, experimenting, analyzing predictive models and developing artificial intelligence-enabled automation solutions.As a Senior Research Scientist, you will:• research and develop new methodologies for demand forecasting, alarms, alerts and automation.• apply your advanced data analytics, machine learning skills to solve complex demand planning and allocation problems.• work closely with stakeholders and translate data-driven findings into actionable insights.• improve upon existing methodologies by adding new data sources and implementing model enhancements.• create and track accuracy and performance metrics.• create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.• drive best practices on the team; mentor and guide junior members to achieve their career growth potential.A day in the lifeThis role will be a Problem Solver, Doer, Detail Oriented, Communicator and Influencer.Problem Solver: Ability to utilize exceptional modeling and problem-solving skills to work through different challenges in ambiguous situations.Doer: You’ve successfully delivered end-to-end operations research projects, working through conflicting viewpoints and data limitations.Detail Oriented: You have an enviable level of attention to details.Communicator: Ability to communicate analytical results to senior leaders, and peers.Influencer: Innovative scientist with the ability to identify opportunities and develop novel modeling approaches in a fast-paced and ever-changing environment, and gain support with data and storytelling.About the teamWe are a growing team continues to operate in "startup" mode to prove new business ideas, while strengthening our core ML platforms.This role is available for the following locations: Seattle/Bellevue, Washington; Arlington, Virginia (HQ2); Denver, Colorado; Bay Area/Los Angeles Metro, California; and Nashville, Tennessee. (other US Locations can be discussed further)