Careers

At Amazon, we fundamentally 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.
524 results found
  • (Updated 2 days ago)
    The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and model evaluation techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances with LLMs and multimodal systems. About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Cambridge, MA, USA | New York, NY, USA | Seattle, WA, USA | Sunnyvale, CA, USA
  • (Updated 6 days ago)
    The Amazon Artificial General Intelligence (AGI) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key responsibilities include: - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. - Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. - Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. - Engage in effective technical communication (written & spoken) with coordination across teams. - Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. - Publish research papers in internal and external venues of repute - Support on-call activities for critical issues Basic Qualifications: - Master’s or PhD in computer science, statistics or a related field - 2-7 years experience in deep learning, machine learning, and data science. - Proficiency in coding and software development, with a strong focus on machine learning frameworks. - Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems. - Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. - Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. - Papers published in AI/ML venues of repute Preferred Qualifications: - Track record of diving into data to discover hidden patterns and conducting error/deviation analysis - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations - The motivation to achieve results in a fast-paced environment. - Exceptional level of organization and strong attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic work environment We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND
  • (Updated 7 days ago)
    The Automated Reasoning Group in AWS Platform is looking for a Senior Applied Scientist to formally verify systems code that will run on millions of servers world wide. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. You will be part of the team that creates mathematical proofs of the systems code that underlies the infrastructure of the cloud and deliver strong security guarantees to our customers. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Key job responsibilities As a Applied Scientist in the Automated Reasoning Group you will - Develop and maintain specifications and machine-checked proofs to demonstrate that systems code is correct. - Write, validate, and maintain formal models of the hardware that systems software controls. - Work with software engineers to guide designs and ensure formal verification is feasible. - Publish papers that explain the security guarantees obtained and the means by which they are established. - Mentor less experienced Applied Scientists A day in the life You will work with experienced systems software developers to define security and correctness properties of low-level software, and develop programming and design practices to enable formal reasoning about this code. With other formal verification expects in the Automated Reasoning Group you will develop the necessary infrastructure to carry out the proofs of correctness of the systems code and drive these proofs to completion. About the team As a member of the Automated Reasoning Group you will be joining the largest assembled team of automated reasoning experts in the world. We bring automated reasoning to bear on problems from across the many business domains in which Amazon operates. You are encouraged to interact with teams in other areas and to seek out new opportunities for automated reasoning in the company. The group is distributed across North America and Western Europe. About AWS Diverse Experiences AWS 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 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 in the cloud. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR
  • (Updated 0 days ago)
    Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. Key job responsibilities - Deliver independently on challenging large-scale problems with high complexity and ambiguity. - Define customer problems, propose effective solutions, and define solution metrics. - Partner with Engineers to deliver experiments and deep dive results to report on improvement across key metrics. - Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. - Analyze historical data to identify shopper or business trends. - Build Machine Learning and statistical models to solve business and customer problems. - Given anecdotes about anomalies, deep dive to explain why they happen and identify fixes. - Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. We are open to hiring candidates to work out of one of the following locations: Toronto, ON, CAN
  • LU, Luxembourg
    Job ID: 2596095
    (Updated 1 days ago)
    Over the past 25 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers and marketplaces in the world. Amazon Business is dedicated to serving the needs of business customers and we are focused on building the largest and most innovative Business-to-Business (B2B) marketplace in the world. We are recruiting a handful of the best and brightest to make this vision a reality. Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high investment for Amazon. We are focused on building solutions to enable B2B customers to discover, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. Our customers include individual entrepreneurs, small businesses to large multi-national companies that buy in either high frequency or in bulk quantities. Our B2B customers have different needs than the traditional Amazon customer and thus we have to reinvent everything from how we display our selection, price our products, and provide the right customer experience. In this role you will manage a team of bright, talented and highly skilled Business Intelligence Engineers who develop innovative tools for transforming raw data into actionable insights for our Customer Advisors and Leadership team. You will apply multitude of modern technologies including various AWS services as well as Microsoft BI stack to build state-of-art BI solutions. Some qualities that we are looking for: you are results oriented (and have a track record of repeatedly delivering great results); you are an innovator (and have already proven it); you can solve really complex problems (some may say impossible to solve); you are an owner, and do what it takes to make your team successful; you have relentlessly high standards (some may say too high); you are customer obsessed; you operate well in an ambiguous environment; and finally, you have a burning desire to be a part of something really big. Key job responsibilities Uncover the needs of our stakeholders for data analysis and access. Prioritize requirements and provide short-, mid- and long-term BI roadmap. Develop end-to-end self-service BI solutions to support decision making for the key stakeholders in the EU as well as WW. Collaborating with multiple teams across various functional areas and geographies WW to extract the business requirements and to propose strategic and tactical levers for developing the B2B marketplace. Analyze and solve business problems at their root, stepping back to understand the broader context. Educate business stakeholders on utilizing BI tools and enable them to independently conduct data analysis. Research and implement novel approaches to enhance existing technical and business processes to improve customers and stakeholders experience. Develop talents in the team. Identify, spread best practices and elevate development standards. We are open to hiring candidates to work out of one of the following locations: Luxembourg, LUX
  • US, WA, Bellevue
    Job ID: 2596950
    (Updated 0 days ago)
    We are designing the future. If you are in quest of an iterative fast-paced environment, where you can drive innovation through scientific inquiry, and provide tangible benefit to hundreds of thousands of our associates worldwide, this is your opportunity. Come work on the Amazon Worldwide Fulfillment Design & Engineering Team! We are looking for an experienced and Research Scientist with background in Ergonomics and Industrial Human Factors, someone that is excited to work on complex real-world challenges for which a comprehensive scientific approach is necessary to drive solutions. Your investigations will define human factor / ergonomic thresholds resulting in design and implementation of safe and efficient workspaces and processes for our associates. Your role will entail assessment and design of manual material handling tasks throughout the entire Amazon network. You will identify fundamental questions pertaining to the human capabilities and tolerances in a myriad of work environments, and will initiate and lead studies that will drive decision making on an extreme scale. .You will provide definitive human factors/ ergonomics input and participate in design with every single design group in our network, including Amazon Robotics, Engineering R&D, and Operations Engineering. You will work closely with our Worldwide Health and Safety organization to gain feedback on designs and work tenaciously to continuously improve our associate’s experience. Key job responsibilities - Collaborating and designing work processes and workspaces that adhere to human factors / ergonomics standards worldwide. - Producing comprehensive and assessments of workstations and processes covering biomechanical, physiological, and psychophysical demands. - Effectively communicate your design rationale to multiple engineering and operations entities. - Identifying gaps in current human factors standards and guidelines, and lead comprehensive studies to redefine “industry best practices” based on solid scientific foundations. - Continuously strive to gain in-depth knowledge of your profession, as well as branch out to learn about intersecting fields, such as robotics and mechatronics. - Travelling to our various sites to perform thorough assessments and gain in-depth operational feedback, approximately 25%-50% of the time. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
  • (Updated 0 days ago)
    The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians on a mission to develop a fault-tolerant quantum computer. You will be joining a team located in Pasadena, CA that develops material innovations to improve the performance of quantum processors. We are looking to hire a Quantum Research Scientist who will apply their expertise in thin film growth and characterization to the optimization of fabricated superconducting quantum devices. In this role, you are expected to lead and assist research projects that are aligned with our Center’s technical roadmap. You will develop new ideas and design experiments aimed at identifying the most promising material systems, deposition conditions, and integration processes for superconducting circuit applications. Key job responsibilities - Develop deposition processes for epitaxial thin film stacks made of superconducting, semiconducting, and dielectric materials for the fabrication of quantum devices. - Characterize the structural and chemical properties of the films. - Search for correlations between the material properties and performance metrics of quantum devices that are fabricated from these materials. - Communicate engineering and scientific findings to teammates, the broader CQC team and, when appropriate, publish findings in scientific journals. A day in the life Diverse Experiences AWS 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 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. About the team Our team contributes to the fabrication of processors and other hardware that enable quantum computing technologies. Doing that necessitates the development of materials with tailored properties for superconducting circuits. Research Scientists and Engineers on the Materials team operate deposition and characterization systems in order to develop and optimize thin film processes for use in these devices. They work alongside other Research Scientists and Engineers to help deliver the fabricated devices for quantum computing experiments. We are open to hiring candidates to work out of one of the following locations: Pasadena, CA, USA
  • (Updated 0 days ago)
    The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Economist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge causal inference models using ML. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement at Amazon and its subsidiaries. The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s different business. CMO applies industry leading deep learning based causal inference models to measure effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon. This is a high-impact role with opportunities to develop econometric models, and analyze marketing effectiveness that contributes billions of dollars to the business. As a Senior Economist, you will be responsible for leading the design and development of the causal estimation models, measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business. In this role, you will be a technical leader in Economics with significant scope, impact, and high visibility. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and development and deployment of the measurement science models, guide on causal estimation, and build frameworks for model validations. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, is hands on with coding, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference to solve business problems, preferably in observational studies. You are a hands-on innovator who can contribute to advancing Marketing measurement science. You will also coach and guide junior economists and scientists in the team to grow the team’s talent and scale the impact of your work. We are open to hiring candidates to work out of one of the following locations: Irvine, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
  • US, CA, Sunnyvale
    Job ID: 2590754
    (Updated 0 days ago)
    The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Research Scientist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement at Amazon and its subsidiaries. The Campaign Measurement & Optimization (CMO) organization’s mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The CMO team provides incrementality and efficiency measurement services to the marketing stakeholders across Amazon’s lines of business, including Stores, Prime Video, Amazon Devices, Alexa, Amazon Business, Amazon Music, Amazon Fresh, as well as subsidiaries including Audible, Ring, Whole Foods, and more. CMO applies industry leading deep learning based causal inference models to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. The impact and influence of the organization is tremendous, helping optimize spend decisions on a scale that exceeds many countries’ GDP. Our outputs shape Amazon product and marketing teams’ decisions and therefore how Amazon customers see, use, and value their experience with Amazon. This is a high-impact role with opportunities to develop systems and analyze marketing effectiveness that contributes billions of dollars to the business. As a senior scientist, you will be responsible for leading the design and development of the cutting edge measurement and optimization models, while collaborating with businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on sparse customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon’s suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business. In this role, you will be a technical leader in applied science research with significant scope, impact, and high visibility. You will lead strategic measurement science initiatives in CMO and across various marketing teams, scaling experimentation and development and deployment of the measurement science models, real-time inference, and cross-channel orchestration. As a successful Scientist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in employing deep learning models to solve business problems, preferably in causal inference. You are a hands-on innovator who can contribute to advancing Marketing measurement technology in a B2C and B2B environment, and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide scientists in the team to grow the team’s talent and scale the impact of your work. We are open to hiring candidates to work out of one of the following locations: Irvine, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
  • (Updated 8 days ago)
    The GenAI Innovation Center helps AWS customers accelerate their use of Generative AI to solve business challenges and promote innovation across their organizations. The Public Sector team focuses on public sector customers and their unique challenges. As a data scientist, you have deep and broad experience as an ML practitioner. You interface directly with customers to understand and identify their challenges that can be addressed by Generative AI. You build secure solutions that can scale to the size of the problem at hand and guide customers through your rigorous evaluation process. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You're part of both a small team dedicated to public sector customers and a global organization enabling customers to accelerate their progress on GenAI. This position requires that the candidate selected be a US Citizen. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities The primary responsibilities of this role are to: Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries. Interact with customer directly to understand their business problems, and help them with defining and implementing scalable Generative AI solutions to solve them. Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solution. A day in the life 1. Team with a GenAI strategist to understand a customer problem and provide guidance on how and whether GenAI can help address the issue. 2. Share your latest experiment results or challenges with other scientists on the team. 3. Collaborate on a blog post to share the results and methods used in your most recent customer success. 4. Attend or a deliver a tech talk to highlight a project you or a team mate just completed. 5. Provide feedback to your team during a code review. 6. Meet with customer stakeholders to demonstrate the latest progress on their problem. About the team Diverse Experiences AWS 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 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Denver, CO, USA

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.
world map in greyscale
Australia
South Australia, AU
City
New South Wales, AU
City
Canada
British Columbia
City
Ontario
City
China
Shanghai, CN
City
Beijing, CN
City
Germany
City City City
India
Hyderabad, IN
City
Bengaluru, IN
City
Israel
Luxembourg
City
United Kingdom
United States
California (Southern)
California (Northern)
San Francisco
Massachusetts
New York
Pennsylvania
City
Texas
City
Virginia
Washington

Working at Amazon

See more
Meet the people driving the innovation behind the world’s most customer-centric company.
See more
download (18).jpeg

Academia

Whether you’re a faculty member, a student, or developer, a thought leader or a policy maker, we offer a number of ways for you to partner with Amazon.