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Careers

Advance the state of the art in customer-obsessed science.
  • We hire world-class academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities, and offer a program for recent PhD graduates too.
  • Hear from Amazon scientists, scholars, academics, and interns about their career journey, experience of working at the company, and what advice they have for those looking for jobs in science.
  • Find out how Amazon engages with the global science community through programs like the Amazon Research Awards, Alexa Prize Challenge, Summer Undergraduate Research Experience, and more.
164 results found
  • US, TX, Dallas
    Job ID: 2277966
    (Updated 42 days ago)
    Job summaryEmployer: Amazon.com Services LLC, an Amazon.com CompanyPosition: Research Scientist III, (multiple positions available)Location: Dallas, TXDuties Lead the evaluation of learning programs by developing and executively high-quality research and evaluation design to continuously improve workplace learning programs using an array of creative approaches which drive productivity, innovation, and operational excellence. Design and development program evaluation plans, data collection mechanisms, and instruments for Global Learning and Development workplace learning programs and partners. Conduct qualitative and quantitative data analysis on program, processes and outcome data using advanced statistical/econometric techniques. Compared desired and actual learning outcomes, and prepare reports/presentations/papers to present evaluation findings. Advise and innovate on evaluation techniques/tools to advance the field of learning evaluation. Collaborate with appropriate stakeholders as needed to facilitate ongoing process of program design, implementation and revisions. Contribute to raise the bar on learning experience and learning design at Amazon through high quality research/evaluation scholarship.
  • US, CA, Palo Alto
    Job ID: 2276803
    (Updated 43 days ago)
    Job summaryMULTIPLE POSITIONS AVAILABLECompany: A9.COM INCPosition Title: Applied Scientist IILocation: Palo Alto, CaliforniaPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
  • LU, Luxembourg
    Job ID: 2276361
    (Updated 43 days ago)
    Job summaryAre you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. Location is flexible (London, Luxembourg, Barcelona , Paris, Madrid, Berlin , Munich)As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others.We are looking for a Manager, Applied Science (Machine Learning) with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and/or anomaly detection.At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
  • US, CA, Palo Alto
    Job ID: 2275591
    (Updated 43 days ago)
    Job summaryEmployer: Amazon.com Services LLCPosition: Applied Scientist IILocation: Palo Alto, CAMultiple Positions Available:1. Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning and/or natural language applications. 2. Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications in business and engineering. 3. Routinely build and deploy ML models that scale with data during training and that scale to production traffic. 4. Research and implement novel ML and statistical approaches to add value to the Business. 5. Collaborate with other teams to find technical solutions to complex problems. 6. Mentor junior engineers and scientists. 7. International travel needed up to 2% of the time.#0000
  • US, WA, Seattle
    Job ID: 2275592
    (Updated 43 days ago)
    Job summaryEmployer: Amazon.com Services LLCPosition: Applied Scientist IILocation: Seattle, WAMultiple Positions Available:1. Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning and/or natural language applications. 2. Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications in business and engineering. 3. Research and implement novel ML and statistical approaches to add value to the Business. 4. Collaborate with other teams to find technical solutions to complex problems. 5. Mentor junior engineers and scientist. 6. Telecommuting benefits available. #0000
  • US, CA, Sunnyvale
    Job ID: 2271672
    (Updated 33 days ago)
    Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Data Scientist IILocation: Sunnyvale, CaliforniaPosition Responsibilities:Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
  • US, CA, Sunnyvale
    Job ID: 2272116
    (Updated 34 days ago)
    Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Applied Scientist IILocation: Sunnyvale, CaliforniaPosition Responsibilities:Apply expertise in physical sciences and theoretical, numerical or empirical techniques to create scalable models representing the response of physical systems or devices. Utilize domain scientific expertise to develop innovative analyses and tests to study viability of new materials, designs or processes. Work closely with engineering teams to drive validation, optimization and implementation of hardware design or software algorithmic solutions to improve product and customer risks. Establish scalable, efficient, automated processes to handle large-scale design and data analysis. Conduct research into user behavior, materials and analysis techniques. Track general business activity including device health in field and provide clear, compelling reports to management on a regular basis. Develop and implement guidelines to continually optimize design processes.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
  • GB, London
    Job ID: 2272451
    (Updated 48 days ago)
    Job summaryAre you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040).Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. Location is flexible (London, Luxembourg, Barcelona , Paris, Madrid, Berlin , Munich)As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others.We are looking for a Manager, Applied Science (Machine Learning) with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and/or anomaly detection.At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history.
  • US, WA, Seattle
    Job ID: 2269769
    (Updated 50 days ago)
    Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Applied Scientist IILocation: Seattle, WashingtonPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
  • US, CA, Sunnyvale
    Job ID: 2269889
    (Updated 3 days ago)
    Do you want to help develop the next generation of the internet—in space? Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. We are looking for people who want to join a cohesive team implementing an ambitious program that pushes the state of the art in distributed systems, networking, machine learning, and hardware design. Key job responsibilitiesThis job focuses on anticipation, allocation, optimization, and monetization of Kuiper resources to ensure that the availability, throughput, and other service-level objectives (SLOs) and agreements (SLAs) are met at all times. As an Applied Scientist, you will build, productionize, and iteratively develop prototypes, proofs of concept (PoCs), and production code for forecasting, optimization, predictive analytics, anomaly detection, and machine learning (ML) systems. You will work in partnership with other Subject-Matter Experts (SMEs) and Software Development Engineers (SDEs). Some of your work will include:Network capacity planning: forecasting demand and predicting the number of customers that we can serve; conducting system availability and resilience analysis.Bandwidth use optimization to provide the best Internet experience to customers.Data-driven explanatory and predictive modeling, forecasting, impact analysis, and root cause analysis.Design and analysis of experiments.Simulating network operation in complex scenarios (e.g., unstable traffic mixes, component failures, congestion, etc.)Influencing the roadmap with literature reviews and proofs of concepts; building consensus with data and evidence.Conducting simulation of failure events and analyzing their results.A day in the lifeYou will play a key role in the capacity management and planning processes: starting with quantifying customer experience, defining network health and QoS metrics, and creating ML systems for statistically sound data exploration. You will also develop and utilize systems for assessing system availability, reliability and resilience through monitoring, modeling, simulating, and forecasting. Writing high quality data-driven documentation, code, and literature reviews will be part of your daily work as well. You will work with other Data and Applied Scientists, Software Development Engineers, Product Managers, and leadership. About the teamMentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded individual contributor and enable them to take on increasingly complex tasks. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Location:We have roles located in Redmond, WA and in Sunnyvale, CA Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

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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New South Wales, AU
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Canada
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Ontario
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China
Shanghai, CN
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Beijing, CN
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Germany
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India
Hyderabad, IN
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Bengaluru, IN
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Israel
Luxembourg
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United Kingdom
United States
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Working at Amazon

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Learn more about the scientists and academics working at Amazon.
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Collaborations

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.