Careers

You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness. Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Own thermal design for consumer electronics products at the system level, proposing thermal architecture and aligning with functional leads - Perform CFD simulations using tools such as Star-CCM+ or FloEFD to assess thermal feasibility, identify risks, and propose mitigation options - Generate data processing, statistical analysis, and test automation scripts to improve data consistency, insight quality, and team efficiency - Plan and execute thermal validation activities for devices and SoC packages, including test setup definition, data review, and issue tracking - Work closely with cross-functional and cross-geo teams to support product decisions, generate thermal specifications, and align on thermal requirements - Prepare clear summaries and reports on thermal results, risks, and observations for review by cross-functional leads About the team Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?

Employer: Amazon.com Services LLC Position: Economist III (multiple positions available) Location: Seattle, Washington Multiple Positions Available: 1. Partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labor and employment planning, effective benefits (health, retirement, etc.) and beyond; 2. Build econometric models using our world class data systems and apply approaches from a variety of skillsets - applied macro/time series, applied micro, econometric theory, empirical IO, empirical health, labor, public economics and related fields are all highly valued skillsets at Amazon; 3. Work in a fast moving environment to solve business problems as a member of either a crossfunctional team embedded within a business unit or a central science and economics organization; 4. Develop techniques that apply econometrics to large data sets, address quantitative problems, and contribute to the design of automated systems around the company; and 5. Utilize deep knowledge in time series econometrics, asset pricing, empirical macroeconomics, or the use of micro and panel data to improve and validate traditional aggregative models. (40 hours / week, 8:00am-5:00pm, Salary Range $159,200.00/year to $215,300.00/year) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Are you passionate about transforming how Amazon identifies and remediates security risks at scale? Does the prospect of using data science and AI to protect Amazon's most critical business operations excite you? Stores BST Risk Engineering builds data-driven risk intelligence solutions that help security teams across Amazon's stores identify, prioritize, and remediate strategic security risks. Our customers range from security engineers managing thousands of vulnerabilities to business leaders making strategic risk decisions. We use machine learning, generative AI, and large-scale data analysis to solve diverse security risks at a very large scale. Your responsibilities will include developing machine learning models for automated fraud detection and pattern recognition, building clustering algorithms that identify root causes across thousands of security issues, and creating data correlation pipelines that integrate security signals from multiple sources. You'll use advanced AI and Data Science techniques for fraud detection, unsupervised learning for pattern discovery, and generative AI for automated analysis at scale. Your work will directly enable security teams to shift from manual analysis taking weeks to automated insights delivered in minutes. We're looking for data scientists who can prototype and productionize innovative models using supervised, unsupervised, and reinforcement learning techniques. You'll work on problems like correlating external threat intelligence with asset inventories, building statistical profiles to detect evolving fraud patterns, and designing confidence scoring systems for real-time risk categorization. If you want to apply machine learning to never-before-solved security problems at Amazon scale, this is your team. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models - With your broad expertise in a variety of data science disciplines, recommend the right data science strategy and drive solution to complex or ambiguous problems - Work closely with internal stakeholders like the business teams, engineering teams and partner teams, influence their strategies to align with your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. - Show good judgment when making trade-offs between short-term customer, market, or research needs and long-term operations or technology needs. About the team About Amazon Security Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

This is currently a 12 month temporary contract opportunity with the possibility to extend to 24 months based on business needs. The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. A day in the life An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.

This is currently a 12 month temporary contract opportunity with the possibility to extend to 24 months based on business needs. The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. A day in the life An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.

This is currently a 12 month temporary contract opportunity with the possibility to extend to 24 months based on business needs. The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services. A day in the life An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.

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. 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. 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. Key job responsibilities - Develop a novel framework and advance the theory and practice of multi-object tracking, re-identification, person activity understanding, multi-modal foundation model, and generic video understanding - Create innovative techniques for efficient visual processing that can scale to real-world applications - Investigate approaches to reduce the computational and data requirements of visual AI systems About the team AWS Solutions 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. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Join the Personal Robotics Group at Amazon, where you'll help pioneer intelligent robotic products that deliver meaningful customer experiences. As a Senior Applied Scientist, you'll lead the development of advanced control systems that enable robots to operate naturally, safely, and intelligently in complex real-world environments. You'll drive technical excellence in areas such as RL-based locomotion policies, whole-body manipulation, sim-to-real transfer, vision-aided control, and safe human-robot interaction. In this role, you'll combine hands-on technical work with scientific leadership, developing robust control solutions that enable robots to perform complex loco-manipulation tasks in dynamic environments. You'll leverage Amazon's computational resources and robotics infrastructure to tackle ambitious robotics problems. Key job responsibilities - Lead technical initiatives in whole-body control and locomotion, driving breakthrough approaches through hands-on research and development in areas including policy learning, natural motion generation, vision-aided locomotion, and loco-manipulation - Design and implement novel RL architectures and training paradigms for robust whole-body control that enables complex tasks across diverse scenarios - Develop sim-to-real transfer techniques that enable policies trained in simulation to perform reliably on physical hardware - Guide technical direction for locomotion and control projects from research through deployment, ensuring robust performance in real-world environments - Collaborate with navigation, manipulation, and hardware teams to ensure seamless integration of whole-body control with perception and planning systems - Mentor fellow scientists and engineers while maintaining strong individual technical contributions - Establish benchmarks and evaluation frameworks for measuring locomotion and whole-body control performance across simulation and on-device testing About the team The Personal Robotics Group is pioneering intelligent robotic products that deliver meaningful customer experiences. We're building the next generation of robotic systems that will redefine how customers interact with technology. This is a unique opportunity to shape the future of personal robotics working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. Join us if you’re passionate about creating the future of personal robotics, solving complex challenges at the intersection of hardware and software, and seeing your innovation deliver transformative customer experiences.

We are seeking an exceptional Senior Data Scientist to join our JP Seller Services team, where you will play a pivotal role in enabling seller growth and success on Amazon Marketplace through innovative products, technology, and data-driven solutions. As a key member of JP Seller Services, you will collaborate with cross-functional stakeholders across Amazon to develop sophisticated AI-native recommendation systems and problem-solving products through advanced analytics, machine learning, and generative AI. These solutions will enable seller business growth on Amazon Marketplace and serve as key strategic pillars that influence our entire seller base. The ideal candidate combines deep technical knowledge in generative AI, machine learning, and statistical modeling with strategic thinking to address complex business challenges through scalable solutions. Key job responsibilities (1) Build and scale end-to-end AI-native recommendation models using generative AI/ML to unlock business growth opportunities. (2) Create scalable, data-driven mechanisms to identify critical and urgent seller challenges through scientific modeling. (3) Collaborate with stakeholders to transform business insights into rigorous scientific solutions.

Amazon B2B Payments and Lending (ABPL) revolutionize financial services for businesses of all sizes, anywhere in the world, enabling them to delight their customers and make a positive impact to the communities they serve. We never stop innovating to earn their trust by leveraging our scale, insights, and technology, and raising the bar with simple, secure, and seamless solutions. ABPL organization is seeking a highly quantitative, experienced Data Scientist to drive the development of science analytics and insights capabilities. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team is an Analytics team, offering a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on developing analytical solutions for our customers/Merchants (Product/Marketing/Finance/Operations team). The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions. You should be highly analytical, resourceful, customer focused, team-oriented, and have an ability to work independently. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities • Partner with technical and non-technical stakeholders across every step of the science project lifecycle to deliver impactful solutions • Design and deploy AI-powered analytical services that deliver automated, actionable insights through predictive and prescriptive ML solutions, enabling business teams to make data-driven decisions and accelerate growth. • Design, develop, implement, and test forecasting solutions for planning and goal-setting exercises across various payment products and programs within the ABPL organization. • Develop and implement agentic AI frameworks to streamline repetitive business operations and create intelligent, customer-facing solutions that enhance user experience and operational efficiency • Design and implement marketing analytics solutions including impact measurement, attribution modeling, and personalization models to optimize marketing effectiveness and ROI • Develop and implement real-time anomaly detection mechanisms and early-warning systems to proactively identify business risks and opportunities • Partner with product, tech teams, BIE/DE to build robust and scalable science solutions integrated with in-house reporting and BI tools using SQL, Python, and Spark • Lead training and informational sessions to educate stakeholders on science capabilities and methodologies • Create, share, and present comprehensive documents summarizing findings and recommendations to all levels of the organization • Drive thought leadership in data science by staying at the forefront of emerging research, identifying breakthrough methodologies, and shaping the team's long-term technical roadmap through innovative problem-solving approaches. • Communicate effectively with cross-functional teams including product, business, technology, and other science teams About the team