Careers

Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale Computer Vision VML systems for robotics in fulfillment centers. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop CVML experts in robotics with a focus on camera calibrations, 3D geometry, pose estimation, deep learning, intelligent control, semi-supervised and unsupervised learning. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We are seeking an experienced Computer Vision ML Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced vision, machine learning and optimization algorithms. You will drive CVML innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables computer vision to significantly impact the lives of millions of consumers. Key job responsibilities - As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at amazon robotics. - You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks. - You will keep your technical skills current to contribute to architecture and design discussions. - You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues. - Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects. A day in the life - Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks. - Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications. - Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems. - Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts. - Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively. Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If 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!

Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale Computer Vision / ML systems for robotics in fulfillment centers. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop CVML experts in robotics with a focus on deep learning, foundation models, generative models, intelligent control, semi-supervised and unsupervised learning. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We are seeking an experienced Computer Vision ML Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced vision, machine learning and optimization algorithms. You will drive CVML innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables computer vision to significantly impact the lives of millions of consumers. Key job responsibilities * As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at amazon robotics. * You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks. * You will keep your technical skills current to contribute to architecture and design discussions. * You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues. * Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects. A day in the life - Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks. - Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications. - Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems. - Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts. - Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively. Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If 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!

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Senior Applied Scientist to help build industry-leading technology with Large Language Models (LLM's) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilities As a Senior Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life - Analyze, understand, and model customer behavior and the customer experience based on large scale data - especially showing passion towards solving for international customer-centric challenges - Build novel online & offline evaluation metrics and methodologies for personal digital assistants and customer scenarios on multi-modal devices - Innovate and deliver deep learning-based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning - Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing - Contribute through industry first research to drive the innovation forward

Are you excited about developing cutting-edge generative AI, large language models (LLMs), and foundation models? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT (Amazon Fulfillment Technologies) AI, a group of over 50 scientists and engineers, we are on a mission to build a new generation of dynamic end-to-end prediction models (and agents) for our warehouses. These models will be able to understand and make use of petabytes of human-centered as well as process information from our warehouse systems and robotic work cells, and learn to perceive and act to further improve our world-class customer experience – at Amazon scale. We are looking for a Senior Manager of Applied Science who will help us build next-level solutions in a full warehouse with the help of generative AI, graph neural networks, and LLMs. Together, we will be pushing beyond the state of the art in simulation and optimization of one of the most complex systems in the world: Amazon's Fulfillment Network. Key job responsibilities In this role, you will manage a talented team of scientists to to build large-scale GenAI models that will be able to understand and predict the state and future of our buildings, network, and orders. You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. You will lead a team of scientists to solve cutting-edge problems going beyond the published state of the art that will drive transformative change on a truly global scale. You will collaborate with teams of engineers to leverage solutions in production. You will lead the vision and implementation and communicate both to higher level leadership at Amazon. If you thrive in a dynamic environment and are passionate about pushing the boundaries of generative AI, LLMs, and automated fulfillment solutions, we want to hear from you. About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.

Amazon is looking for an outstanding Senior Economist to help build next generation selection/assortment systems. On the Specialized Selection team within the Supply Chain Optimization Technologies (SCOT) organization, we own the selection to determine which products Amazon offers in our fastest delivery programs. We build tools and systems that enable our partners and business owners to scale themselves by leveraging our problem domain expertise, focusing instead on introspecting our outputs and iteratively helping us improve our ML models rather than hand-managing their assortment. We partner closely with our business stakeholders as we work to develop state-of-the-art, scalable, automated selection. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting. We're looking for a candidate with a background in experiment design and causal analysis to lead studies related to selection and speed. Potential projects include understanding the short-term and long-term customer impact of assortment changes across different speed. As an Senior Economist, you'll build econometric models using our world-class data systems and apply economic theory to solve business problems in a fast-moving environment. You will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. To be successful in this role, you'll need to communicate effectively with product and tech teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other continuously raise the bar. Key job responsibilities - Lead data-driven econometric studies to create future business opportunities - Consult with stakeholders in Selection and other teams to help solve existing business challenges - Independently identify and pursue new opportunities to leverage economic insights - Advise senior leaders and collaborate with other scientists to drive innovation - Support innovative delivery program growth worldwide - Write business and technical documents communicating business context, methods, and results to business leadership and other scientists - Serve as a technical lead and mentor for junior scientists, ensuring a high science bar - Serve as a technical reviewer for our team and related teams, including document and code reviews

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development. We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities - You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams. - You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills. - You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems - You will mentor and coach junior software developers - You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment - You should be a self-starter with a bias towards independent problem solving. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If 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! About the team Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch. Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.

The WWGST (Worldwide Grocery Stores Tech) teams are seeking a highly motivated Senior Applied Scientist (Level 6) to join our team that is focused on building new technologies for grocery stores. We are a team of applied scientists invent new algorithms (especially artificial intelligence, computer vision and sensor fusion) to improve customer experiences in grocery shopping such as Dash Cart or Self-CheckOut. The Amazon Dash Cart is a smart shopping cart that uses sensors to keep track of what a shopper has added. Once done, they can bypass the checkout lane and just walk out. The cart comes with convenience features like a store map, a basket that can weigh produce, and product recommendations. Amazon Dash Cart’s are available at Amazon Fresh, Whole Foods. Learn more about the Dash Cart at https://www.amazon.com/b?ie=UTF8&node=21289116011. Key job responsibilities As a Senior Applied Scientist, you will help solve a variety of technical challenges and mentor other junior scientists. You will be leader of the applied science team to resolve the hard problems. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people. About the team Diverse Experiences Amazon 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 Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’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.

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Us: Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Position The Central Analytics team drives evidence-based decision-making throughout Twitch. As researchers and thought leaders, we leverage foundational data and sophisticated models to inform product strategy, guide business decisions, and unlock new capabilities. Our interdisciplinary team brings together experts in analytics, data science, machine learning, and user research to continuously innovate and improve the world's leading live-streaming platform. Our team is seeking an exceptional intern with demonstrated experience extracting valuable insights from complex data. We value creative problem-solvers who possess a strong analytical foundation and the communication skills necessary to thrive in a collaborative environment. Our problems cover many different aspects of user behavior on Twitch, including onsite viewer engagement and commerce activity. The ideal candidate is a highly analytical thinker who can identify key patterns within large datasets and translate those findings into clear, actionable recommendations. You Will: - Drive Twitch’s understanding of users and their activity through ownership of research projects from data collection to model development, estimation, and validation - Identify and pursue projects with significant business impact, and make compelling cases for prioritization and resource allocation - Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale -Deliver well-documented datasets, tools, and reports to key technical and business stakeholde Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount

Amazon is looking for talented Postdoctoral Scientists to join the Decision Science & Technology team within Amazon RME for a one-year, full-time research position. The host team is developing novel approaches to Anomaly Detection within our Fulfillment Centers. These algorithms are used to detect issues with our equipment before they progress into breakdowns or impact business operations. A variety of data are collected on the equipment, which must be monitored using powerful and scalable solutions. The postdoc is expected to develop novel algorithms based on Machine Learning that captures and diagnoses these anomalies. Experience with transfer learning and deep learning would be valuable to produce adaptable and scalable solutions. 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. • Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! Our Prime Air Drone Vehicle Design and Test team within Flight Sciences is looking for an outstanding engineer to help us rapidly configure, design, analyze, prototype, and test innovative drone vehicles. You’ll be responsible for assessing the Aerodynamics, Performance, and Stability & Control characteristics of vehicle designs. You’ll help build and utilize our suite of Multi-disciplinary Optimization (MDO) tools. You’ll explore new and novel drone vehicle conceptual designs in both focused and wide open design spaces, with the ultimate goal of meeting our customer requirements. You’ll have the opportunity to prototype vehicle designs and support wind tunnel and other testing of vehicle designs. You will directly support the Office of the Chief Program Engineer, and work closely across all vehicle subsystem teams to ensure integrated designs that meet performance, reliability, operability, manufacturing, and cost requirements. About the team Our Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping.