Careers

Join Amazon's Frontier AI & Robotics team as a Member of Technical Staff, this Technical Program Manager will become the driving force behind breakthrough robotics innovation. You'll orchestrate complex, cross-functional programs that bridge AI research, software, hardware, and production deployment—managing the technical workstreams that enable robots to see, reason, and act in Amazon's warehouse environments. Your program leadership will directly accelerate our mission to build the next generation of embodied intelligence. Key job responsibilities · Establish and drive program management mechanisms and cadence for complex robotics and AI development initiatives spanning research, software engineering, hardware, and operations · Manage end-to-end program execution across the full robotics stack—including AI models, software engineering, and hardware deployment · Drive decision-making velocity by facilitating tradeoff discussions when there are conflicting priorities; determine whether decisions are one-way or two-way doors · Own program-level risk management, proactively identifying technical, schedule, and resource risks; escalate where necessary and drive mitigation strategies · Manage dependencies and scope changes across internal teams and partner organizations, ensuring alignment on commitments, timelines, and technical requirements · Create transparency through clear RACI frameworks, program dashboards, and communication mechanisms that keep stakeholders aligned on status, risks, and decisions · Exercise strong technical judgment to influence program-level decisions on deployment methodology, scalability requirements, and technical feasibility—acting as the voice back to research and engineering teams · Build sustainable program management processes that scale as our organization grows, adapting agile frameworks to the unique challenges of AI robotics A day in the life Your focus centers on driving velocity and alignment across our robotics programs. You might start your morning facilitating tradeoff decisions between AI researchers and software engineers on a critical prototype milestone, then transition to managing dependencies across hardware and operations teams to keep timelines on track. In the afternoon, you could be conducting risk assessments on supply chain constraints that impact our development roadmap, updating program dashboards to provide leadership visibility, or working with partner teams to align on deployment strategies. You'll establish the mechanisms and cadence that keep our fast-moving organization synchronized—from sprint planning rituals to cross-functional design reviews. Throughout the day, you balance hands-on program execution with strategic escalation, ensuring technical decisions align with our long-term vision while removing obstacles that slow teams down. You're the connective tissue that enables researchers, engineers, and operations specialists to move fast together. About the team At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

About the Role: We are looking for a Member of Technical Staff - Mechanical Engineer with a passion for building complex robotic systems from the ground up. This role is ideal for someone with a deep understanding of structural and electromechanical design, who thrives in hands-on environments and has experience taking high-performance robots from concept to production. You will work on the mechanical and system architecture of advanced robotics platforms, including high degree-of-freedom systems, where considerations such as actuator selection, thermal constraints, cabling, sensing integration, and manufacturability are critical. This is a cross-disciplinary role requiring close collaboration with electrical, software, and AI research teams. Beyond day-to-day hardware development, this role also provides exciting avenues to contribute to innovative research projects. Whether you’re interested in mechatronics, sensor integration, or novel actuation methods, you’ll find opportunities to explore your research interests while building real-world systems that advance in the field of high degree-of-freedom robotics. What You Bring: * A systems-thinking mindset with a strong grasp of cross-domain engineering tradeoffs. * A bias toward action: comfortable building, testing, and iterating rapidly. * A collaborative and communicative working style — especially in multi-disciplinary research environments. * A passion for robotics and advancing the state of the art in intelligent, capable machines. Key job responsibilities * Lead mechanical design of robotic subsystems and full platforms, including structures, joints, enclosures, and mechanisms for a research environment. * Own kinematic, dynamic, and structural analyses to guide the design and optimization of full systems and subsystems of high-DoF robots * Specify and integrate actuators and motors for high-torque density applications in high-degree-of-freedom systems. * Contribute to thermal management strategies for motors, sensors, and embedded compute hardware. * Integrate sensors such as lidar, stereo cameras, IMUs, tactile sensors, and compute modules into compact, functional assemblies. * Design and route cabling and wire harnesses, ensuring reliability, serviceability, and thermal/electrical integrity. * Prototype and test mechanical systems; support hands-on builds, debug sessions, and field testing. * Conduct root cause analysis on system-level failures or performance issues and implement design improvements. * Apply Design for Manufacturing (DFM) and Design for Assembly (DFA) principles to transition prototypes into scalable builds (10s–100s of units). * Collaborate with cross-functional teams in electrical engineering, controls, perception, and research to meet research and product goals. About the team Frontier AI & Robotics (FAR) is the team at Amazon building the next generation of embodied intelligence. FAR drives the development and implementation of advanced AI models within Amazon’s operations that enable robots to see, reason, and act on the world around them, supporting a number of different warehouse automation tasks.

Do you want to shape the future of music discovery by building applied science solutions at Amazon scale? Join our Amazon Music team where you'll define and execute the applied science roadmap for catalog and search systems, directly impacting millions of customers worldwide. You'll work at the exciting intersection of large-scale content systems, applied science, and applying the latest advances in foundation models to build an intelligence layer on top of one of the world's largest music and podcast catalogs. As a Principal Applied Scientist, you'll drive innovation in music content understanding, leveraging foundational models to enrich catalog data intelligence and create breakthrough customer experiences. Your work will span across music catalog, search, and data systems teams, where success is measured by customer satisfaction, partner team success, and music labels' ability to share high-quality content seamlessly. Key job responsibilities - Lead the design and implementation of applied science solutions for large-scale music catalog systems, leveraging foundational models to enhance content intelligence and understanding - Define and execute the technical roadmap for Amazon Music catalog and search teams, driving architectural decisions across multiple systems and ensuring alignment with long-term business objectives - Design, propose, and collaborate on experiments that leverage rich music content for enhanced customer experiences in search, personalization, and recommendation systems - Drive technical excellence across three teams (music catalog, music search, music data systems) by conducting design reviews, setting engineering standards, and mentoring senior technical talent - Solve complex problems at the intersection of content systems and applied science, proactively identifying risks and implementing solutions that balance short-term deliverables with long-term architectural maintainability About the team The Amazon Music Catalog and Search team is responsible to help our customers discover the most relevant audio content including music, podcasts and audiobooks. The team invents technology at the intersection of the largest audio catalog in the world, applying latest advances in foundation models and proprietary data assets of Amazon Music. We build technology and products that is deployed worldwide but at the same time is customizable for local markets. We measure our success by the success of our customers, partners and audio content creators.

Advertising at Amazon is growing incredibly fast and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Amazon Business Ads is equally growing fast ($XXXMs to $XBs) and owns engineering and science for the AB WW ad experience. We build business-to-business (“B2B”) specific ad solutions distributed across retail and ad systems for shopper and advertiser experiences. Some include new ad placements or widgets, creatives, sourcing techniques, ad campaign management capabilities and much more! We consider unique AB qualities which are differentiated from the consumer experience such as varying shopper role types, purchasing complexities based on business size and industry (eg education vs healthcare), AB specific features (eg business discounts, buying policies to restrict and prefer products), and AB buyer behaviors (eg buying in bulk). We are seeking a scientific leader who can drive innovation in complex problem areas and new business initiatives. The ideal candidate will: Technical & Research Requirements: * Demonstrate fluency in Python, R, Matlab or other statistical languages and familiarity with deep learning frameworks like PyTorch, TensorFlow * Lead end-to-end solution development from research to prototyping and experimentation * Write and deploy significant parts of scientifically novel software solutions into production Leadership & Influence: * Drive team's scientific agenda by proposing new initiatives and securing management buy-in including PM, SDM * Build consensus on large projects and influence decisions across different teams in Ads Key Leadership Principles: * Dive Deep: Uncover non-obvious insights in data * Deliver Results: Create solutions aligned with customer and product needs * Learn and Be Curious: Demonstrate self-driven desire to explore new research areas * Earn Trust: Build relationships with stakeholders through understanding business needs

The Catalog Services Product Knowledge team is seeking a Sr. Applied Science Manager for leading initiatives for understanding, and scaling organization of product schema information. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and scale the catalog metadata (schema) for Amazon e-commerce catalog worldwide. This is a complex problem because the magnitude of products entities (attributes, values, constraints) to be modeled to cover all the Amazon products worldwide. You will lead a team of experienced Applied Scientists (direct reports) to create models and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML and GenAI techniques that will scale our catalog artifacts with a high precision across countries and languages. The leader will drive investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product schema and support the largest e-commerce catalog and impact million of customers. The team builds solutions ranging from automatic generation of product metadata, classification of entities, validation of concepts against customer traffic, creation of agents solving complex tasks mimicking human decisions at high precision, etc; all these developments 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 (PhD's in NLP, ML, GenAI) to produce best in class solutions. The ideal candidate has deep expertise in one or several of the following fields: Generative AI, Agents, LLMs, Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing. S/he has a strong publication record at relevant academic venues and proven experience in launching products/features in the industry. Key job responsibilities In 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 Applied Scientists (direct reports with a respective team). About the team The team's mission is to infer knowledge, understand, and derive product schema for all Amazon products entering the Catalog. The work is critical to power drive policies on how products will be merchandised, guide Selling Partners, inform models how to infer attributes. All this information drives the navigational Taxonomy, Search and Detail Page experiences, impacting million of customers. This is an already formed team with experience leading programs spanning services and ML initiatives. 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.

Join Amazon's Rest of World Supply Chain Research team to revolutionize supply chain planning across multiple geographies including India, Japan, Mexico, Brazil, MENA, Australia, and Singapore. As an Operations Research Scientist, you'll develop optimization solutions using simulations, integer programming, and heuristic search to solve complex short-term capacity planning challenges that directly impact millions of customers worldwide. Key job responsibilities We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies. A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include 1) Understanding the current planning process for program teams and tools available to them. 2) Determining the gaps in the tools/decision making through data analysis or simulation systems. 3) Determining the best possible tool to solve for the current gaps. 4) Launch or develop the identified tool through coding or solution deep dives and scenario creation. About the team Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) team supports supply chain processing for the multiple geographies like IN, Japan, Mexico, Brazil, MENA, AU & SG. The research team works to support network design, labor planning and capacity planning processes through launching decision support tools for planning or execution.

Every day, hundreds of thousands of Amazon associates show up to fulfill the promise we make to our customers. Behind the workforce decisions that support them — staffing, retention, scheduling, development — there should be science that doesn't just describe what happened, but explains why it happened and predicts what comes next. That's the work we do. PXT Central Science (PXTCS) is Amazon's internal research organization dedicated to bringing scientific rigor to people and workforce decisions at global scale. Our team sits within the part of PXTCS that focuses on Amazon's Tier 1 hourly populations — the associates at the heart of Amazon's operations. We are a multidisciplinary group of 15 economists, data scientists, data engineers, and research scientists united by a single mission: to transform complex operational challenges into actionable insights through rigorous causal analysis and predictive modeling that empowers data-driven workforce decisions. We are building something new — causal predictive models that go beyond traditional forecasting. Our models don't just tell leaders what will happen; they reveal why it will happen and what levers they can pull to change the outcome. This is the frontier where causal inference meets modern machine learning, and we need a scientist who can help us push it forward. As a Data Science Manager (DSM), you will lead a team of economists, scientists, and data engineers working to solve complex scientific problems that have high business and customer impact. You will be responsible for building structural and predictive models, leveraging data science workflows, and driving innovations that deliver measurable results for Amazon customers. You will work shoulder-to-shoulder with economists who deeply understand the causal mechanisms driving workforce dynamics and data scientists who know the operational landscape — and you will bring the technical creativity to expand what's possible. That means writing production-quality code that our partner engineering teams can implement into decision-making tools. It means exploring novel feature spaces — large language models, computer vision, and other emerging techniques — to unlock signal that traditional approaches miss. And it means doing all of this with the scientific rigor that causal claims demand. This role is built for someone who is entrepreneurial and energized by ambiguity — someone who sees a prototype model and immediately starts thinking about how to make it robust, scalable, and impactful. You will not just advance your own work; you will elevate the scientists around you. If you want to do science that directly shapes how Amazon supports its workforce — not in theory, but in production systems that leaders use to make better decisions every day — we'd love to talk. Key job responsibilities - Leadership & Team Management: Independently manage and develop a diverse science team, creating an environment that enables consistent delivery and innovation; Build and maintain a high-performing team that can operate effectively and autonomously; Drive strategic growth opportunities for team members, providing paths to demonstrate higher-level scope, impact, and leadership; Establish clear performance metrics and audit mechanisms to track and communicate team progress; Foster a team culture focused on bringing research to production and delivering customer value - Technical & Scientific Direction: Partner with stakeholders and leadership to define and execute the scientific vision for your team; Lead the development of structural and predictive models, leveraging emerging technologies and novel features; Drive the implementation of data science workflows and simulation frameworks; Bridge the gap between science, technology, and business requirements; Leverage the broader Amazon scientific community to enhance team capabilities and knowledge sharing - Strategic Planning & Execution: Define and maintain team structure, strategic direction, and owned technologies; Establish processes that enable consistent delivery and quality of scientific artifacts; Drive reasonable schedules and adjust priorities to ensure optimal outcomes; Create and implement audit mechanisms to track team performance against goals; Remove roadblocks and optimize team productivity - Communication & Influence: Create well-written documents to effectively communicate with technical and non-technical audiences; Influence science and analytics practices across the organization; Build strong partnerships with stakeholders across different business units; Present complex scientific findings to senior leadership; Drive adoption of best practices and innovative solutions About the team The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and UX to develop and deliver solutions that measurably achieve this goal.

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Seattle, Washington Job Number: AMZ9442729 Position Responsibilities: Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy. Position Requirements: Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation. Employer will accept four years of experience as equivalent to the Bachelor’s degree and two years of experience. Must have one year of experience in the following skills: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $163,322/year to $215,300/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist II Job Location: Culver City, California Job Number: AMZ9803565 Position Responsibilities: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. 40 hours / week, 8:00am-5:00pm, Salary Range: $158,808/year to $184,000/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. As an Applied Scientist, you will develop and improve machine learning systems that help robots perceive, reason, and act in real-world environments. You will leverage state-of-the-art models (open source and internal research), evaluate them on representative tasks, and adapt/optimize them to meet robustness, safety, and performance needs. You will invent new algorithms where gaps exist. You’ll collaborate closely with research, controls, hardware, and product-facing teams, and your outputs will be used by downstream teams to further customize and deploy on specific robot embodiments. Key job responsibilities As an Applied Scientist in the Foundations Model team, you will: - Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization. - Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between sim and real environments. - Build and run capability evaluations/benchmarks to clearly profile performance, generalization, and failure modes. - Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes. - Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs - Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions. - Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies. About the team We leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. We are pioneering the development of robotics foundation models that: - Enable unprecedented generalization across diverse tasks - Integrate multi-modal learning capabilities (visual, tactile, linguistic) - Accelerate skill acquisition through demonstration learning - Enhance robotic perception and environmental understanding - Streamline development processes through reusable capabilities