Careers

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.

The Alexa Edge AI team is seeking a talented and motivated Applied Scientist to join our newly established team in Bangalore. In this role, you will design, develop, and deploy state-of-the-art machine learning models spanning computer vision (CV), audio (including speech) processing, and multimodal semantic understanding for both edge and cloud deployment. You will work at the intersection of multiple modalities to build systems that can perceive, interpret, and reason about the world — pushing the boundaries of what's possible in unified multimodal intelligence. This is a unique opportunity to be a founding member of a brand-new site, shaping the team culture, technical direction, and research agenda from the ground up. Key job responsibilities Model Development: Design and build deep learning models for computer vision, audio understanding, and multimodal semantic fusion — including architectures that enable joint reasoning across visual, auditory, and textual modalities. End-to-End Ownership: Own the full ML lifecycle — from problem formulation, data strategy, and annotation design through experimentation, evaluation frameworks, model optimization, and deployment at scale. Research & Innovation: Stay at the frontier of CV, audio ML, and multimodal learning; identify and apply SOTA techniques and contribute to the scientific community through papers at top-tier venues (CVPR, NeurIPS, ICASSP, ICCV, ACL). Mentorship & Culture Building: As a founding member of the Bangalore site, help hire, onboard, and establish the technical practices that define the team's culture. A day in the life An Applied Scientist with the Alexa Edge AI team will support science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into production. About the team The Alexa Edge AI team has a mission to deliver best in class, resource efficient multimodal AI models in support of various perception (vision, audio and speech) and semantic understanding based applications for devices like Echo Show series within Amazon.

The Alexa Edge AI team is seeking a talented and motivated Applied Scientist to join our newly established team in Bangalore. In this role, you will design, develop, and deploy state-of-the-art machine learning models spanning computer vision (CV), audio (including speech) processing, and multimodal semantic understanding for both edge and cloud deployment. You will work at the intersection of multiple modalities to build systems that can perceive, interpret, and reason about the world — pushing the boundaries of what's possible in unified multimodal intelligence. This is a unique opportunity to be a founding member of a brand-new site, shaping the team culture, technical direction, and research agenda from the ground up. Key job responsibilities Model Development: Design and build deep learning models for computer vision, audio understanding, and multimodal semantic fusion — including architectures that enable joint reasoning across visual, auditory, and textual modalities. End-to-End Ownership: Own the full ML lifecycle — from problem formulation, data strategy, and annotation design through experimentation, evaluation frameworks, model optimization, and deployment at scale. Research & Innovation: Stay at the frontier of CV, audio ML, and multimodal learning; identify and apply cutting-edge techniques and contribute to the scientific community through papers at top-tier venues (CVPR, NeurIPS, ICASSP, ICCV, ACL). Mentorship & Culture Building: As a founding member of the Bangalore site, help hire, onboard, and establish the technical practices that define the team's culture. A day in the life An Applied Scientist with the Alexa Edge AI team will support science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into production. About the team The Alexa Edge AI team has a mission to deliver best in class, resource efficient multimodal AI models in support of various perception (vision, audio and speech) and semantic understanding based applications for devices like Echo Show series within Amazon.

We are looking for a Senior Applied Scientist to help establish and lead the technical direction of our newly formed team in Bangalore. In this role, you will drive the research and development of next-generation machine learning models spanning computer vision, audio processing, and multimodal semantic understanding. You will help define the science roadmap, tackle high-ambiguity problems across modalities, and deliver solutions that operate at scale. This is a rare opportunity to shape the technical vision, culture, and long-term research agenda of a greenfield site. Key job responsibilities Model Development & Technical Leadership: Architect and drive development of advanced deep learning models for CV, audio understanding, and multimodal semantic fusion — setting the technical bar and defining best practices for the team. End-to-End Ownership: Own complex ML programs end-to-end — from identifying high-impact problems, designing data strategies and evaluation frameworks, through experimentation, optimization, and deployment at production scale. Research & Innovation: Define the science roadmap for your area; drive novel research directions in multimodal learning and deliver results that advance both the product and the broader field. Publications & Thought Leadership: Maintain an active publication record at top-tier venues (e.g. CVPR, NeurIPS, ICASSP, ICCV, ACL) and represent the team externally in the research community. Mentorship & Culture Building: Mentor scientists and engineers, raise the technical bar through hiring, and play a foundational role in establishing the Bangalore site's culture, processes, and scientific identity. A day in the life An Applied Scientist with the Alexa Edge AI team will lead science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, a Sr. Applied Scientist will also drive cross functional collaboration with talented engineers and scientists to put algorithms and models into production. About the team The Alexa Edge AI team has a mission to deliver best in class, resource efficient multimodal AI models in support of various perception (vision, audio and speech) and semantic understanding based applications for devices like Echo Show series within Amazon.

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

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.