Careers

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in artificial intelligence and related fields.
493 results found
  • US, WA, Seattle
    Job ID: 3052445
    (Updated 11 days ago)
    As part of the AWS Applied AI 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 Principal Applied Scientist will drive the scientific vision for AI systems. The role requires tackling intrinsically hard, previously unsolved problems while balancing rapid innovation with reliability and compliance. You should be comfortable making decisions with incomplete information and driving solutions in ambiguous problem spaces. You'll work closely with senior technical leaders within the team and across AWS. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities * Drive the scientific vision of teams in the organization and advise technical leadership on scientific challenges * Initiate and lead the design and delivery of science solutions that address significantly large or endemic customer and business problems * Propose innovative solutions to intrinsically hard, previously unsolved problems * Influence the organization towards adopting new approaches, concepts, and paradigms * Mentor and develop other scientists, fostering a culture of scientific excellence About the team Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS services such as Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3 and Amazon Kinesis to provide a truly frustration free, easy-to-use, extensible, and natural customer experience. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them.
  • (Updated 54 days ago)
    The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists. Key job responsibilities Join us to work as an integral part of a team that has diverse experience with GenAI models in this space. We work on these areas: - Scaling laws - Hardware-informed efficient model architecture, low-precision training - Optimization methods, learning objectives, curriculum design - Deep learning theories on efficient hyperparameter search and self-supervised learning - Learning objectives and reinforcement learning methods - Distributed training methods and solutions - AI-assisted research About the team The AGI team has a mission to push the envelope in Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
  • (Updated 54 days ago)
    The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of novel algorithms and push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models. As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Design and execute experiments to evaluate the performance of different decoding algorithms and models, and iterate quickly to improve results - Develop deep learning models for compression, system optimization, and inference - Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
  • DE, Berlin
    Job ID: 3044204
    (Updated 55 days ago)
    Amazon is looking for talented Postdoctoral Scientists to join our Robotics team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of computer vision and manipulation challenges in Amazon warehouses. The Amazon Robotics team seeks to automate the picking activities in Amazon AR Sortable FCs by retrofitting into existing stations. The team develops robotic manipulators, both the related hardware and software (including machine learning approaches). The team was formed in 2022 and is based in Berlin. Our team focuses on solving computer vision and manipulation challenges in Amazon warehouses. For example, how can robots interact with the fabric pods used to store items. The technical challenges include 3D scene understand for items in clutter, identification of target items in the scene, and placement and/or removal of target items. As the solution space is open ended, the team is looking for postdoc candidates who are excited to apply and advance the state-of-the-art algorithms to this domain. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
  • US, CA, Sunnyvale
    Job ID: 3063561
    (Updated 30 days ago)
    Are you passionate about solving complex wireless challenges that impact millions of customers? Join Amazon's Device Connectivity team who are revolutionizing how wireless technology shapes the future of consumer electronics. As a Wireless Research Scientist, you'll be at the forefront of developing solutions that enhance the connectivity and reliability of millions of customer devices. Your expertise will drive the creation of next-generation wireless technologies, from concept to implementation, directly shaping the future of Amazon's product ecosystem. In this role, you'll tackle complex electromagnetic challenges head-on, leveraging your analytical prowess and deep understanding of wireless principles. You'll collaborate with world-class scientists and engineers, applying machine learning and statistical analysis to optimize system performance and create scalable, cost-effective solutions for mass production. Your impact will extend beyond the lab, as you transform research concepts into practical features that delight our customers. You'll influence product roadmaps, drive critical technical decisions, and play a key role in accelerating our product development lifecycle. Key job responsibilities As a Wireless research scientist, you will use your experience to initiate wireless design, development, execution and implementation of scientific research projects. Working closely with fellow hardware dev, scientists and product managers, you will use your experience in modeling, statistics, and simulation to design new hardware, customer modeling and evaluate their benefits and impacts to cost, connectivity use cases, reliability, and speed of productization Ability to work and connect concepts across various engineering fields like EMC design, desense, antenna, wireless communication and computational electromagnetics to solve complex and novel problems Experience in combinatorial optimization, algorithms, data structures, statistics, and/or machine learning that can be leveraged to develop novel wireless designs that can be integrated and mass produced on products. This position requires superior analytical thinking, and ability to apply their technical and statistical knowledge to identify opportunities for wireless/EM applications. You should be able to mine and analyze large data, and be able to use necessary programming and statistical analysis software/tools to do so. Ability to leverage ML techniques for design optimization and performance modeling that influence technology integration and productization of novel consumer products. A day in the life Invent • You invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives. • You expertly frame the scientific approach to solve ambiguous business problems, distinguishing between those that require new solutions and those that can be addressed with existing approaches. • You focus on business and customer problems that require scientific advances at the product level. Your research solutions set a strong example for others. You work efficiently and routinely delivered the right things. • You show good judgment when making trade-offs between short- and long-term customer, business, and technology needs. • You drive your team’s scientific agenda by proposing new initiatives and securing management buy-in. • You lead the writing of internal documents or external publications when appropriate for your team and not precluded by business considerations. • Your work consistently delivers significant benefit to the business. What you deliver could be functional, such as a software system or conceptual, such as a paper that advances scientific knowledge in a specific field or convinces the business to focus on a particular strategy. Implement • You are self-directed in your daily work and require only limited guidance for confidence checks. • You define and prioritize science or engineering specifications for new approaches. • You independently assess alternative technologies or approaches to choose the right one to be used by your system or solution with little guidance. You may own the delivery of solutions for an entire business application. • You ensure accuracy in your process abstractions, models, and simulation results. • Your solutions are inventive, maintainable, scalable, extensible, accurate, and cost-effective (e.g., you know where to extend or adapt methods). • Your solutions are creative and of such a high quality that they can be handed off with minimal rework. Influence • You are a key influencer in team strategy that impacts the business. You make insightful contributions to team roadmaps, goals, priorities, and approach. • You build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. • You actively recruit and help others by coaching and mentoring in your organization (or at your location). • You are involved and visible in the broader scientific communities (internal or external) as a subject matter expert. For example, you may give guest lectures, review scientific work of others, serve as a Program Committee member in conferences, or serve as a reviewer for journal publications. • You contribute to the broader internal and external scientific communities. 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?
  • US, NY, New York
    Job ID: 3042654
    (Updated 43 days ago)
    MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist II Job Location: New York, New York Job Number: AMZ8839670 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. Position Requirements: Master’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master’s degree and one year of experience. Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB. 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$160,125/year to $207,500/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
  • (Updated 54 days ago)
    Amazon is seeking an exceptional Applied Scientist to join AGI Info Content team. In this role, you will be at the forefront of developing and enhancing the intelligence of AmazonBot crawler and content processing. The team is a key enabler of Amazon's AGI initiatives such as data pipelines for Nova model training and collecting data for AGI Info grounding services. Our systems operate on web scale. This requires great combination of innovation to utilize all SOTA ML techniques in combination with model optimization to operate on 100k+ requests/decision per second. Your work will directly impact the quality and efficiency of our data acquisition efforts, ultimately benefiting millions of customers worldwide. Key job responsibilities Design, develop, and implement advanced algorithms and machine learning models to improve the intelligence and effectiveness of our web crawler and content processing pipelines. Collaborate with cross-functional teams to identify and prioritize crawling targets, ensuring alignment with business objectives Analyze and optimize crawling strategies to maximize coverage, freshness, and quality of acquired data while minimizing operational costs as well as dive deep into data to select the highest quality data for LLM model training and grounding. Conduct in-depth research to stay at the forefront of web acquisition and processing. Develop and maintain scalable, fault-tolerant systems to handle the vast scale of Amazon's web crawling operations Monitor and analyze performance metrics, identifying opportunities for improvement and implementing data-driven optimizations Mentor and guide junior team members, fostering a culture of innovation and continuous learning
  • (Updated 34 days ago)
    Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems? As an Applied Scientist Intern, you will based in Amazon's Melbourne office working in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products. Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026. The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne. Key job responsibilities - Develop novel solutions and build prototypes - Work on complex problems in Machine Learning and Information Retrieval - Contribute to research that could significantly impact Amazon operations - Collaborate with a diverse team of experts in a fast-paced environment - Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR - Present your research findings to both technical and non-technical audiences Key Opportunities: - Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon - Access to Amazon services and hardware - Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems - Potentially deliver solutions to production in customer-facing applications - Opportunities to be hired full-time after the internship Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!
  • AU, VIC, Melbourne
    Job ID: 3043193
    (Updated 34 days ago)
    Are you excited about leveraging state-of-the-art Computer Vision algorithms and large datasets to solve real-world problems? Join Amazon as an Applied Scientist Intern and be at the forefront of AI innovation! As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact. Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026. The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne. Key job responsibilities - Develop novel solutions and build prototypes - Work on complex problems in Computer Vision and Machine Learning - Contribute to research that could significantly impact Amazon's operations - Collaborate with a diverse team of experts in a fast-paced environment - Collaborate with scientists on writing and submitting papers to Tier-1 conferences (e.g., CVPR, ICCV, NeurIPS, ICML) - Present your research findings to both technical and non-technical audiences Key Opportunities: - Collaborate with leading machine learning researchers - Access cutting-edge tools and hardware (large GPU clusters) - Address challenges at an unparalleled scale - Become a disruptor, innovator, and problem solver in the field of computer vision - Potentially deliver solutions to production in customer-facing applications - Opportunities to become an FTE after the internship Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!
  • US, CA, Sunnyvale
    Job ID: 3066820
    (Updated 25 days ago)
    Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer devices. We are looking for exceptional scientists to join our Applied Science team to help build industry-leading technology with multimodal language models for various edge applications. Key job responsibilities - Collaborate with cross-functional engineers and scientists to advance the state of the art in multimodal model evaluations for devices - Invent and develop novel multimodal evaluation benchmarks against product use cases - Design and develop tools for human-in-the-loop model evaluation experiments - Partner with engineering teams to integrate evaluation methods across the deployment pipeline - Work closely with scientists, compiler engineers, data collection, and product teams to advance evaluation methods A day in the life As an Applied Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to innovative methods for evaluating new product experiences, conduct experiments, explore new algorithms, and discover ways to enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production. About the team Our Edge AI science team brings together our unique skills and experiences to deliver state-of-the-art multimodal AI models that enable new experiences on Amazon devices.

Science at Amazon around the world

Amazon scientists are working on large-scale technical challenges in a variety of research areas across the globe. Use the pins below to learn more about the customer-obsessed science being conducted at some of our research locations.
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Australia
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China
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Academia

Amazon collaborates with leading academic organizations to drive innovation and to ensure that research is creating solutions whose benefits are shared broadly across all sectors of society.