Careers

Amazon’s Frontier AI & Robotics (FAR) team is seeking a Member of Technical Staff, Infrastructure to build and scale the foundational systems that power our robotics research and development platform. In this role, you will design and operate the distributed infrastructure that enables our researchers and engineers to train foundation models, run large-scale experiments, and deploy intelligent robotic systems at Amazon scale. Join the next revolution in robotics, where you’ll work alongside world-renowned AI pioneers to push the boundaries of what’s possible in robotic intelligence. As a Member of Technical Staff focused on Infrastructure, you’ll build the critical platform layer that accelerates every aspect of FAR’s research — from high-throughput data pipelines and experiment management systems to low-latency model serving and configuration delivery for robotic deployments. This role is deeply technical and focuses on performance, scalability, and reliability at scale. You will design systems that support volumes of training data, operate with strict latency requirements, and provide the compute and data foundation that enables breakthrough research across FAR’s robotics ecosystem. Key job responsibilities • Design and build scalable compute and data infrastructure to support model training, inferencing, and eval for frontier AI/Robotics development • Lead large technical initiatives and shape the architecture of FAR’s research platform infrastructure • Develop tooling and frameworks that accelerate research workflows, including dataset management, visualization, and quality assessment systems • Optimize query performance and data availability for experimentation and analytics workflows used by research teams • Improve the performance, efficiency, and reliability of FAR’s core compute and storage infrastructure, ensuring systems remain fast and stable at scales • Build highly scalable experimentation and analytics infrastructure to support model evaluation, A/B testing, and feature performance • Collaborate directly with science and robotics teams to support research projects through both infrastructure development and hands-on technical contribution

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are looking for a self-motivated, passionate and resourceful Applied Science Manager to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will lead a strong science team and work closely with other science and engineering leaders, product and business partners together to build the best personalized customer experience for Prime Video. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Lead to develop AI solutions for various Prime Video recommendation and personalization systems using Deep learning, GenAI, Reinforcement Learning, recommendation system and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Hire and grow a science team working in this exciting video personalization domain. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various devices. We work closely with the engineering teams to launch our solutions in production.

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies — all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business — available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. Prime Video Commerce's mission is to present the right offer to the right customer at the right time — across subscriptions, channels, and transactional video in every market and on every device. Our science team replaces static business rules with ML-driven decisions that personalise the entire commerce journey, from discovery through to checkout and beyond. We operate at scale across hundreds of millions of customers, and we are now expanding into new frontiers — combining the latest advances in agentic and generative AI, behavioural simulation, and causal inference to understand the impact of our decisions before they reach customers. We are looking for an Applied Scientist with a specialism in reinforcement learning and strong machine learning skills to join the Prime Video Commerce Insights team who will work on the latest research and machine learning to build scalable personalisation solutions. You will develop and deploy customer-facing models, understand customer behaviour at scale, and explore emerging techniques that help us make better decisions faster. This is a hands-on role working with a high performing and high visibility multidisciplinary group of engineers and scientists in the London office, focused on improving the customer experience for Prime Video and the wider Amazon organization. You will contribute to the design of machine learning models that scale to large quantities of data and serve low-latency recommendations to all customers worldwide. You will embody scientific rigor in designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science and engineering team that embodies the customer obsession principle by developing recommendation and decision systems that raise the profile of Prime Video Commerce as a global leader in machine learning and personalisation. Successful candidates will have strong technical ability, a focus on customers by applying a customer-first approach, and excellent teamwork and communication skills. The position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. Key job responsibilities - Strong reinforcement learning skills - Research, design, and implement recommendation systems that personalise across different customer experience touch points. - Collaborate with engineers to deploy and integrate successful model experiment results into large-scale, complex Amazon production systems with low latency. - Provide machine learning thought leadership to both technical and business leaders, with the ability to think strategically about business, product, and technical challenges. - Be a subject matter expert in reinforcement learning approaches for the team and actively contribute to the science roadmap - Define the science roadmap and research agenda that aligns with the organisation's priorities and production constraints. - Work with technical product managers to work backwards from what's important to customers and deliver machine-backed solutions. - Report and share results with the team and wider scientific community by authoring documents that are both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment. A day in the life You will be both a research leader and a hands-on innovator within the Commerce Insights organisation. You'll collaborate with talented engineers and senior leaders to solve problems that are uniquely challenging at Amazon's scale: personalising commerce decisions across multiple business lines balancing competing objectives across offerings, and positively impacting hundreds of millions of customers worldwide. The problems here are technically deep — combining large-scale ML, causal reasoning, and behavioural modelling in a domain where every decision carries real revenue and customer experience consequences. Your research will ship to production and move metrics that matter. About the team You will join a team of great team of engineers and applied scientists with a proven track record of solving highly complex, ambiguous problems — work that has produced patents and publications at top-tier conferences. The team has direct visibility to senior Prime Video leadership, and collaborates broadly across Commerce, Content, and Platform teams to shape how customers discover, subscribe to, and engage with video content. This is a team that operates at the intersection of rigorous research and real-world impact, where your ideas move from whiteboard to production for hundreds of millions of customers.

Alexa AI is looking for an Applied Scientist to build Alexa+, Amazon's LLM-powered conversational assistant. You will work on key initiatives spanning large language model fine-tuning, alignment, agentic reasoning, and evaluation — directly shaping the experience for hundreds of millions of customers worldwide. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other scientists and engineers to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Key job responsibilities * Improve the efficiency of LLM, VLM, and agent training and evaluation pipelines, including distributed training, inference serving, data loading, checkpointing, memory usage, and GPU utilization. * Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO), and distillation for production deployment * Architect agentic systems — multi-step reasoning, tool use, planning, and orchestration * Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality * Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams * Publish results at top-tier venues and represent Amazon in the broader research community About the team Alexa AI is building the science and technology behind Alexa+, Amazon's next-generation conversational assistant. Our team works at the intersection of large language models, reinforcement learning, agentic architectures, and multilingual/multimodal understanding. We operate at massive scale — our models serve customers across dozens of languages and device types. If you want to push the frontier of conversational AI and see your work used by people every day, come join us.

Amazon Search is building a first-of-its-kind AI-powered visual search experience that lets customers describe products they're imagining, instantly see AI-generated images in response, and tap those images to search for matching products to shop. We are transforming the search engine into a shopping engine by leveraging advances in generative AI and multimodal understanding. We are seeking an Applied Scientist II to join the Visual Search Science team and push the boundaries of generative AI and multimodal retrieval at Amazon scale. You will work at the intersection of diffusion models, large language models (LLMs), and multimodal search to build systems that generate product visualizations in real time and connect them to Amazon's billions-scale catalog. The ideal candidate has deep expertise in one or more of the following areas: text-to-image generation, multimodal retrieval, LLM-based classification, AI safety and content moderation, or retrieval-conditioned generation. You will operate with startup-level autonomy backed by the resources of Amazon Search, serving hundreds of millions of customers worldwide. Key job responsibilities You will design, train, and optimize generative AI models for real-time product image generation, ensuring outputs meet strict latency requirements while maintaining high visual quality and query alignment. You will develop multimodal retrieval systems that connect AI-generated images to Amazon's billions-scale product catalog, optimizing for recall and ranking relevance across product categories. A core part of the role involves building LLM-based classifiers for visual intent detection, query understanding, and safety filtering within real-time latency budgets. You will advance AI safety science through defense-in-depth approaches including embedding-space classifiers, adversarial data engines, and post-generation content moderation. You will design and execute large-scale online experiments to measure impact on customer engagement, search success, and business metrics, defining evaluation frameworks that combine automated metrics with human judgment. You will collaborate with engineering, product, and design teams to architect GPU-intensive inference pipelines serving real-time traffic at scale, and contribute to Amazon's scientific community through publications and patents. About the team The Visual Search Science team is pioneering generative AI for shopping within Amazon Search. We sit at the intersection of computer vision, natural language processing, and information retrieval building systems that help customers visualize what they're looking for and seamlessly discover matching products. Our team operates with speed and autonomy while leveraging Amazon's massive scale, GPU infrastructure, and product catalog. We are a tight-knit group of scientists and engineers who value rigorous experimentation, creative problem-solving, and shipping innovations that customers love. We collaborate closely with partner teams across Search organization.

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Key job responsibilities Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Sr. Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will be the thought leader of 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 at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people. A key focus of this role will be developing and implementing advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time. You'll work on designing autonomous AI agents that can make intelligent decisions based on visual inputs, understand customer behavior patterns, and adapt to dynamic retail environments. This includes developing systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues. About the team Just Walk Out (JWO) is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding and labeling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables labeling of advertising assets and moderation of millions of ads submitted each day.

Join Amazon's Frontier AI & Robotics team and help shape the future of intelligent robotic systems from the inside out. As a Member of Technical Staff - Firmware Engineer, Electronics, you will develop the low-level firmware that brings our in-house robotic actuators to life—writing the embedded code that bridges sophisticated hardware and the high-level AI control systems that power our next-generation robots. Your work will directly enable our robots to see, reason, and act in real-world warehouse environments, making you a critical contributor to one of the most ambitious robotics programs in the world. Key job responsibilities • Develop, test, and optimize embedded firmware for custom in-house robotic actuators, including motor control algorithms (FOC, commutation, current/torque/speed/position loops) running on microcontrollers and DSPs • Design and implement real-time firmware for actuator state estimation, fault detection, and protection logic, ensuring robust and safe operation across all actuator variants deployed in FAR's robotic systems • Collaborate with electronics engineers and motor design engineers to define firmware requirements, hardware interfaces (SPI, I2C, CAN, EtherCAT, RS-485), and actuator bring-up procedures for new hardware revisions • Develop and maintain firmware for field-oriented control (FOC) and sensored/sensorless motor commutation, including tuning current regulators, velocity controllers, and position controllers for high-performance robots • Build and maintain firmware test frameworks and hardware-in-the-loop (HIL) test environments to validate firmware behavior across actuator operating conditions, edge cases, and failure modes • Partner with controls engineers and AI researchers to ensure firmware-level interfaces support high-bandwidth, low-latency communication required by whole-body control and motion planning algorithms • Contribute to actuator firmware architecture decisions, define software-hardware interface standards, and maintain firmware documentation and version control practices to enable scalable multi-actuator development • Support rapid hardware bring-up and debugging of new actuator prototypes, leveraging oscilloscopes, logic analyzers, and custom diagnostic tools to characterize and validate firmware behavior on novel hardware A day in the life Your day is rooted in the intersection of hardware and software where you’ll be wiring firmware from scratch to control custom motors. You might start your morning reviewing firmware behavior logs from the previous night's actuator characterization runs, then spend time working alongside motor design and electronics engineers to debug a torque ripple issue in the motor control loop. In the afternoon, you could be writing and validating embedded firmware for a new actuator variant, tuning (field-oriented control) FOC algorithms, and collaborating with the controls team to ensure firmware interfaces align with high-level motion planning requirements. Beyond the bench, you'll participate in architecture reviews with hardware and software engineers, contribute to code reviews, and document firmware specifications that enable smooth hardware handoffs. You'll be working on actuator variants—each with unique power, torque, and speed requirements—and you'll be the firmware voice in cross-functional design discussions that shape how our actuators are built and controlled. The pace is fast, the problems are novel, and the impact is direct. 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.

Join our Frontier AI & Robotics team to lead the hardware integration of next-generation robotic systems that will transform how robots perceive and interact with the world. You'll take ownership of critical hardware components, from advanced actuators to precision sensors, ensuring they work seamlessly together to support breakthrough AI research and real-world deployment. Key job responsibilities - Prototype Lab Leadership — Lead & develop a cross-functional technician team supporting robotic prototype hardware; own daily priorities, team KPIs, and risk communication to FAR leadership. Serve as the technical escalation point for the lab. - Assembly, Integration & DFx ownership — Assemble & integrate robotic hardware (actuators, sensors, vision, machined components). Build assembly processes and test protocols with hardware engineering. Drive DFM/DFA feedback and own simple mechanical/electrical design tasks, lead integration/debug, and partner with engineers to optimize manufacturability and testability. - Own R&D prototype test & validation — Validate hardware revisions, verify mechanical assemblies, power sequencing, comms interfaces, and peripherals during bring-up. - Build a strong debugging & failure analysis function — Troubleshoot & root-cause across the full robot platform (power, compute, comms, actuators, sensors); hands-on for complex issues, directing the team on routine ones. Conduct failure analysis from component to system level using oscilloscopes, logic analyzers, and multimeters; train technicians on diagnostic techniques. Reproduce critical failures, interpret schematics, and bridge communication between the lab and engineering teams. - Own lab technical documentation — Own documentation & quality - author runbooks, FA reports, assembly guides and troubleshooting guides; mentor the team to maintain consistent standards. - Own mechanical design for the lab — Own mechanical design technician output. Oversee technicians performing simple R&D design tasks and test fixture design, ensuring quality and alignment with engineering priorities. - Manage prototyping lab operations — oversee machine shop capabilities and quality, equipment/inventory, vendor coordination, and safety/regulatory compliance. - Build additional lab capabilities — develop test methodologies, design jigs/fixtures, implement HIL testing, and streamline failure-to-resolution workflows. A day in the life Your focus centers on the hardware that powers our advanced robotic platforms. You'll lead a strong robotics technician and lab engineering team to support high degrees of freedom (DoF) robotic hardware prototype assembly and validation. Your team will be responsible for building, debugging and validating prototype hardware, critical component and assembly quality assessments, providing DFM/DFA feedback to engineers and designing test jigs and test set-ups. You’ll manage responsibilities like quality inspections of incoming parts, one-on-ones with technicians, and coordinating machine shop operations. Throughout the day, you balance leading your team through complex assemblies and integration testing while also handling urgent prototyping requests, documentation updates, and planning for upcoming milestones. You're switching between working at the bench alongside your technicians, collaborating in design reviews with engineers, and ensuring lab safety and equipment maintenance. 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.

Join Amazon's Frontier AI & Robotics team and take ownership of the electronics that make our robots move. As a Member of Technical Staff - Electronics Engineer, Actuators & Drives, you will conceptualize, design, and test the motor drive electronics that power our in-house robotic actuators—from the gate drivers and power stages that command motor current to the sensing circuits and communication interfaces that give our robots proprioceptive awareness. Your printed circuit board (PCB) designs will live inside each of our next-generation robotic systems, directly enabling the embodied intelligence that is central to FAR's mission. Key job responsibilities • Conceptualize, design, and validate motor drive electronics for in-house robotic actuators, including inverter power stages, gate driver circuits, current and position sensing, and power management subsystems from concept through prototype and production • Lead PCB-level design of compact, high-power-density motor drive boards, including schematic capture, component selection, and collaboration with PCB layout engineers to achieve signal integrity, thermal, and EMC requirements in constrained actuator form factors • Characterize and optimize inverter switching performance, efficiency, and thermal behavior across the full operating envelope of FAR's actuator variants, using bench measurements and simulation to guide design decisions • Define and implement current sensing architectures (shunt-based, Hall-effect, or integrated IC-based) and position/velocity sensing interfaces (encoder, resolver, Hall sensor) to support high-bandwidth FOC firmware on microcontrollers and DSPs • Partner with firmware engineers to define hardware-software interfaces for motor drive control loops, fault detection logic, and communication protocols (CAN, EtherCAT, SPI), ensuring electronics designs support the real-time control requirements of robotic actuation • Collaborate with motor design and mechanical engineers to specify the electrical characteristics of custom BLDC and PMSM motors, align inverter design to motor parameters, and validate the integrated actuator electro-mechanical system • Lead hardware bring-up, functional testing, and failure analysis for new actuator electronics prototypes, developing test plans and characterization setups that systematically validate design performance and identify failure modes • Define electronics design standards, review processes, and design-for-manufacturability (DFM) guidelines for FAR's actuator drive portfolio, and mentor junior engineers in motor drive electronics design best practices A day in the life Your day centers on the full electronics development cycle for our custom actuator drive systems. You might start by reviewing simulation results for a new inverter topology, then transition to the lab to characterize switching losses and thermal performance on a prototype motor drive board. Later in the day, you could be collaborating with motor design engineers on back-EMF waveform analysis, refining gate drive timing to optimize inverter efficiency, or working with firmware engineers to define current sensing interfaces and hardware abstraction layers. Across the week, you'll be involved in schematic capture and PCB layout reviews with your design team, participating in design review gates, and iterating on hardware based on test findings. You'll navigate the challenge of fitting high-performance drive electronics into compact, thermally constrained actuator packages—designing for the power density, reliability, and robustness our robots demand. Your work will span from concept and architecture through silicon bring-up, and you'll play a key role in defining the electronics roadmap for FAR's actuator portfolio. 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.