Careers

Amazon is looking for a passionate, talented, and inventive Postdoc Scientist with a strong machine learning background to help build leading research in generative AI and foundational models. As part of our Generative AI science team in Amazon AWS Bedrock, you will have the opportunity to impact millions of our customers by researching innovative algorithms that conduct automated red teaming and blue teaming of large Foundation models. You will gain hands on experience with Amazon's large-scale computing resources to accelerate advances in machine learning and foundation models. You will work along side a supportive and collaborative team with a healthy mix of scientists and engineers to research and develop state-of-the-art technology for inference optimization. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community; • Publish your innovation in top-tier academic venues and hone your presentation skills; • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the team Inclusive Team Culture Here 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 Balance Our 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 Growth Our 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 scientist and engineer and enable them to take on more complex and larger scope tasks in the future. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Herndon, VA, USA

At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Experience Science (SPeXSci) delivers on this by building AI-enhanced experiences, optimization, and automation that help third-party sellers build more successful businesses. This includes recommendations that drive growth and AI-enhanced assistance for troubleshooting issues. There are many challenges that we confront caused by the volume, diversity, and complexity of our selling partner's needs… and we are always striving to do better. Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning and natural language processing? A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity? The SPeXSci Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face, to design permanent fixes to recurring problems, to anticipate problems so that we are prepared to deal with them, to measure our success at delighting our customers, and to identify opportunities to grow and improve. In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams, product owners to build ML pipelines, platforms and solutions that solve problems of defect detection, automation, and workforce optimization. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. AWS’ Infrastructure Services Supply Chain (AIS-SC) organization works to deliver cutting-edge solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! Do you love problem solving? Are you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment. Responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard time Series Forecasting techniques like ARIMA, ARIMAX, Holt Winter and formulate ensemble model. - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering, Principle Component Analysis, Market Basket analysis). - Experience in solving optimization problems like inventory and network optimization . Should have hands on experience in Linear Programming. - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. - Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion. - Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND

As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. Key job responsibilities You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading conversational technologies that customers love. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA

The Reinforcement Learning (RL) team within Amazon's Supply Chain is at the cutting edge of applying machine learning to real-world problems. We are seeking a talented Senior Applied Scientist with RL experience to join our team. Here you will be focused on making significant contributions to the field, through hands-on research in RL. If you are driven by innovation, we want to hear from you. In this role you'll have the opportunity to make meaningful advancements in machine learning and AI, contributing to both theoretical and applied aspects of ML and RL. Key job responsibilities - Design, implement, and evaluate innovative models, agents, and software prototypes. - Collaborate with a team of experienced scientists to drive technological advancements. - Develop novel solutions to complex business problems in collaboration with partner teams. - Contribute to Amazon's global science community through collaboration and publication of groundbreaking research. - Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences. A day in the life As part of our team, you will work alongside thought leaders like Sham Kakade and Dean Foster, contributing to academic research and complex, real-world applications. Your work will directly influence Amazon's global inventory planning systems, shaping decisions that affect billions of dollars worth of inventory and a wide array of product lines. You will tackle complex inventory planning challenges using RL, contributing both to the theoretical aspect of the field and its practical applications. We value creative thinking and the ability to approach problems from new perspectives. About the team Our team is at the forefront of machine learning research; we are dedicated to developing novel RL algorithms and applying them to complex, real-world challenges in Amazon's global inventory and supply chain network. Our focus is on both advancing theoretical knowledge and implementing these insights to optimize operations and enhance customer satisfaction. We foster a collaborative environment where exploration of new ideas and tackling complex problems is encouraged. The supply chain spans a wide range of operations, managing decisions that impact billions of dollars worth of inventory. For scientists passionate about impactful research in machine learning and AI, our team offers a dynamic and fulfilling environment to make a tangible difference in the field and Amazon's operations. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA

Job Summary AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for the Cloud Optimization service portfolio (AWS Health, Well-Architected, Trusted Advisor). We are looking for a Principal Scientist to join us and lead/spearhead the AI revolution through innovative solutions inspired by customer needs. A Principal Scientist in Kumo is a hands-on contributor who 1/ Understands the latest trends and developments in AI/GenAI space and able to apply this innovation to solve customer challenges. 2/ Effectively partners across AWS AI/GenAI services to influence and drive investment prioritizations. 3/ Mentors to elevate the organization’s excellence in AI/GenAI. 4/ Represents the organization strategically in front of customers, partners, and other AWS leaders. Evangelize our AI/GenAI innovations, results, and impact. You will partner with go-to-market, support, and service leaders to identify, define, and shape the investment direction of our products with a vision, strategy, and develops innovative solutions for hard, previously unsolved problems. You will work closely with engineering teams to define the architectures and solutions that transform algorithms to services operating at AWS scale. This role will give you the opportunity to drive the design and delivery of large-scale cross-AWS projects while moving the needle disproportionately for the Support business. In this role, you’ll define and drive architectural innovation of existing and new services to help AWS customers optimally architect, develop, and operate for the cloud. You’ll think beyond the immediate team and project needs and focus on how to reduce operational complexity. You’ll provide technical vision in achieving business goals. Your responsibilities will include: * Influence at all levels – from business strategy to implementation. You will own direct technical contributions for some areas and in others you will influence and direct at the architectural level. * Lead by example, demonstrating technical excellence that other engineers aspire to follow. Taking time to mentor and develop members of each team. * Define the next generation of Cloud Optimization architecture, working closely with business owners, service teams, Principal Engineers, and Solution Architects to leverage proven design patterns and existing services to reduce existing complexity, duplication, and cost. * Solve ambiguous problems and deliver high impact customer driven products, such as real-time visibility into customers’ experiences and impacts during AWS service events, derive customer insights, generate summary of customers’ posture for security, cost, resilience, etc. * Drive operational excellence and best practices across the teams. * Work with minimal guidance, engaging engineering teams across the organization to deliver results, while responding efficiently to multiple program priorities. In addition, you’ll have the opportunity to analyze the latest technologies and development trends, establishing and implementing standard practices for the organization’s engineering teams. The ideal candidate will be able to exercise strong judgment in balancing technical leadership and business goals. About the team AWS Kumo is a global product and technical organization dedicated to helping AWS customers succeed in their cloud journey. Kumo owns critical cloud services used by all AWS customers to build, optimize, and operate at scale. Our broad portfolio of services includes AWS Health (https://aws.amazon.com/premiumsupport/technology/aws-health-dashboard/), Trusted Advisor (https://aws.amazon.com/premiumsupport/technology/trusted-advisor/), Well-Architected (https://aws.amazon.com/architecture/well-architected/), re:Post (https://repost.aws/), Recommendations & Insights, Self-service Automation, Support Center (https://console.aws.amazon.com/support/home/?nc2=h_ql_cu), and more, as well as all the internal tooling used by our global support organization to provide exceptional customer support. Kumo is a people-first organization doing world-class innovation at scale. We are globally distributed, with larger teams across the United States, Canada, South Africa, Costa Rica, Australia, and other geographies. We are always looking for exceptional technologists and leaders who would like to join us on this journey. By joining Kumo, you will work with all AWS customers, from big and diverse enterprises to small cutting-edge startups, helping them achieve success in their cloud journeys. We are delivering product and technological innovation that transform the way our customers run their businesses. Our industry-leading product portfolio cuts across a wide range of technologies — from Distributed Systems to Machine Learning — at Amazon scale. We are a fast-growing, agile and collaborative team of individuals with diverse backgrounds from all parts of the globe. We combine the culture of a startup, the innovation and creativity of an R&D lab, the work-life balance of a mature organization, and AWS-scale technical challenges. Join us! We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Seattle, WA, USA

Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of applying machine learning to solve real world problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us! The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Applied Scientist to join our Reinforcement Learning team. Our research team, which includes Sham Kakade and Dean Foster, has published research in top journals and conferences and has a significant impact on the field. Through the launch of several Deep RL models into production, our work also affects decision making in the real world. Key job responsibilities Key job responsibilities include: - Design, implement and evaluate models, agents and software prototypes - Technical leadership for a group of highly motivated and talented scientists - Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements. - Work closely with partner teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business. - Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. - Raise the bar of scientific research by innovating and publishing About the team Supply Chain Optimization Technologies (SCOT) owns Amazon’s global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We decide how to place and move inventory within Amazon’s fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide. Venturing beyond traditional operations research methods for sequential decision-making in inventory planning, the Reinforcement Learning team is pioneering the application of reinforcement learning techniques for these applications. The team combines empirical research and real world testing, backed by a robust theoretical foundation. Some research publications include: - Deep Inventory Management [https://arxiv.org/abs/2210.03137, NeurIPS 2022 Workshop Presentation] - Learning an Inventory Control Policy with General Inventory Arrival Dynamics [https://arxiv.org/abs/2310.17168] - Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data [https://arxiv.org/abs/2112.07602] - What are the Statistical Limits of Offline RL with Linear Function Approximation? [https://arxiv.org/abs/2010.11895, NeurIPS 2021 Workshop Presentation] - A Study on the Calibration of In-context Learning [https://arxiv.org/abs/2312.04021] We encourage collaboration across teammates and recognizes the need to take chances and try new ideas that may fail. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct at a massive scale. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA

Amazon is looking for talented Postdoctoral Scientists to join our AR R&D for a one-year, full-time research position. The research work for this position will focus on path planning and optimization techniques responsible for guiding large fleets of autonomous mobile robots operating collaboratively with people. The work will have the opportunity to address a wide range of topics such as global path optimality guarantees, global representations for dynamic environments, trajectory optimization considering fleet-level constraints, optimization of traffic flow, and multi-agent coordination. This position will uniquely provide the opportunity to work on a key component that will improve the performance of large fleets of robots. The selected candidate will interact with a diverse scientific group of data scientists, motion planning and AI scientists, and a large community of robotics scientists at Amazon, which include world-renowned academics with Amazon appointments. Key job responsibilities • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. We are open to hiring candidates to work out of one of the following locations: Boston, MA, USA | North Reading, MA, USA

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities. As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities. As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA