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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.
170 results found
  • (Updated 21 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.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.
  • GB, London
    Job ID: 2267833
    (Updated 21 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.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: 2263965
    (Updated 55 days ago)
    Job summaryAt Amazon, our goal is to be earth’s most customer-centric company and to create a safe environment for customers. To achieve that, we need exceptionally talented, bright, dynamic, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. This is an exciting and challenging position to drive research that will shape new ML solutions for restricted product compliance in order to achieve best-in-class standards around perfect customer experience.Amazon Restricted Products team is looking for a Senior Data Scientist to join our science and analytics team in the area of Computer Vision and Natural Language Processing (NLP). In this role, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with scientists and other engineers to help invent, implement, and connect sophisticated algorithms to our cloud-based engines. We are looking for a customer obsessed Senior Data Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the product compliance domain. You will leverage advanced analytical and machine learning techniques to evolve the way we reduce false negative footprint, improve impact assessment capabilities, and build hands of the wheel solutions to automatically classify and segment restricted and offensive products in suitable categories. If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.
  • US, CA, Sunnyvale
    Job ID: 2261679
    (Updated 27 days ago)
    Job summaryMULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLC, an Amazon.com CompanyTitle: Applied Scientist IIWorksite: Sunnyvale, CAPosition 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, NY, New York
    Job ID: 2257444
    (Updated 27 days ago)
    Job summaryMULTIPLE POSITIONS AVAILABLECompany: AMAZON.COM SERVICES LLCPosition Title: Data Scientist IILocation: New York, New YorkPosition 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.40 hours / week, 8:00am-5:00pm, Salary Range $153,525/year to $207,500/yearAmazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. #0000
  • (Updated 46 days ago)
    Job summaryThe Amazon Devices organization designs, produces and markets Echo Speakers, Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players, Ring and Blink Smart Home & Security products. We are constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving customer experience on existing platforms. The Devices Data Services (DDS) team provides Data Science, Analytics and Engineering support to the broader organization to enable Sales and Marketing activities across all these product lines. In this role, you will own and drive initiatives to improve Amazon Devices - Sales and Marketing recommendations through a variety of machine learning algorithms. We are looking for a creative, customer and details obsessed machine learning scientist who can apply the latest research, state of the art algorithms and machine learning to build recommendation, search and personalization systems.We are looking for someone with a deep customer focus. You will get a chance to work with talented engineers to make a meaningful impact on customer experience by leading the design, architecture, and implementation of features used by millions of customers. About the teamWe are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer’s expectation. Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.
  • US, MA, Westborough
    Job ID: 2258856
    (Updated 49 days ago)
    Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.This role is a 6-month Co-Op to join AR full-time (40 hours/week) from January 9, 2023 to June, 23 2023. Amazon Robotics co-op opportunities will be hybrid (2 - 3 days a week) and based out of the Greater Boston Area in Westborough, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesWe are seeking data scientist co-ops to help us analyze data, quantify uncertainty, and build machine learning models to make quick prediction.
  • US, WA, Redmond
    Job ID: 2254567
    (Updated 2 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 a Sr. 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.
  • US, WA, Virtual Location - Washington
    Job ID: 2251415
    (Updated 66 days ago)
    Job summaryAre you passionate about solving some of the world's largest scale and most complex deep-learning science problems, while transforming consumer shopping experience over the next few years? Our Onsite Publishing (OSP) organization is transforming Amazon.com by helping customers discover and research what they want to purchase by connecting them with product review content developed by creators of all types – from large publishers to individual influencers. This advises customers to make the best buying decisions by bringing third party, expert content into Amazon. Onsite publishing sources high-quality content from third-party publishers and influencers at scale, moderates, annotates, and vends it to internal experience owners within Amazon (e.g. Video Shopping, Storefronts, #FoundItonAmazon, StyleFeed), and monitors content performance. OSP also owns the content publishing tools along with select creator experiences. We believe that providing relevant, quality content across Amazon will increase long-term customer engagement along with product discovery and research.The challenge that OSP owns is unique at Amazon in two ways: 1) OSP owns the end-to-end content workflows from ingestion to vending, and we must build robust Science methods to automate this at Amazon scale, and 2) We are building our workflows in a content agnostic way, but we will need ways to solve multi-content optimization, e.g. publisher articles that include photos and/or videos. and content ranking.We are seeking a Principal Applied Scientist to both tackle our most complex problems and raise the bar for our Science colleagues within Amazon's Customer Engagement organization . This candidate will make long term investments in our unique challenge - to lead Amazon in the automated extraction, understanding, processing of knowledge and ranking of content. The knowledge we need to ingest are wide ranging in data type coverage, and are from varying external source formats. To accomplish our multi-year challenges, we need the candidate to lead R&D of ML models to ingest content from disparate sources as opposed to requiring creators to submit content in specific, rigid ways which currently stifles ingestion and on-boarding of content at scale today.Key job responsibilitiesThis candidate will be the intellectual thought leader for the team, setting the working backwards path for our most complex problems. This individual will work closely with our Applied Scientist team, Principal Engineers, software development engineers, product managers and data engineers. In addition to solving problems, this candidate will raise the bar for our team by reviewing proposals and technical designs for the portfolio of problems we solve. The successful candidate will have a proven track record of breaking down and solving complex Science problems. In addition, you have strong business judgement and are an excellent communicator, with proven ability to influence at the most senior levels. You have the passion and experience to closely work with a diverse and innovative team that will delight customers and set new standards in our space. You are entrepreneurial and enjoy working in a dynamic, ambiguous, fast-paced environment. You are humble and have a track record of exceptional performance. People trust and respect you, and they like to work with and for you.A day in the lifeAs the Principal Applied Scientist, you will work closely with the engineering, product, and data leaders to ensure we are prioritizing the right problems, ensuring long-term and resilient designs, and meeting the high quality bar and deadlines. You will take ownership over select problems and work with the team to implement into production. You will also spend time reviewing designs and mentoring our junior Science team members. You will also participate in learning opportunities for the broader Consumer Engagement Science community. About the teamOSP consists of 1) Software Development Engineers, including a Principal Engineer, and Software Managers and Technical Program Managers, 2) Science leaders, including multiple Applied Scientists, Data Scientists, and Data Engineers, and 3) Product Manager-Technical, which help prioritize and work backwards to experiment.
  • US, CA, San Francisco
    Job ID: 2249164
    (Updated 27 days ago)
    Job summaryEmployer: Twitch Interactive, Inc. Position: Applied Scientist IIILocation: San Francisco, CAMultiple Positions Available:1. Designing and delivering ML-based solutions for ambiguous, complex problems that require scientific breakthroughs, with limited guidance (e.g., where the business problem or opportunity is not yet defined) 2. Work closely with the search engineering and product management team to create flexible data pipelines and ML based services. Contribute to operational excellence in the search team’s scientific features, constructively identifying inefficient processes and proposing solutions. 3. Deliver and maintain software and models in the production environment. Research, prototype, develop and productionize innovative ML techniques to help build meaningful connections and add business value Stay up to date with the state-of-the-art ML research. 4. Design, develop, and implement production level code that serves millions of search requests. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment. Work with engineers to make low latency model predictions and scale the throughput of the system. 5. Train machine learning / deep learning based models using ML platforms and libraries such as Tensorflow, Pytorch, Pyspark, etc. Apply natural language processing techniques to improve ranking of search results and develop new ranking features and techniques building upon the latest results from the academic research community. 6. Experiment with different models, analyze results using statistical methods and iterate on improving the results Propose and validate hypotheses to direct our business and product road map. 7. Develop data-driven solutions for the real-world, large scale problems. Continuously experiment with new techniques in order to improve user experience using search. Drive the science vision and roadmap. Lead cross functional collaborations between product, design, and engineering. 8. Evaluates end-to-end ML designs for strengths and weaknesses (data quality, scalability, ensuring accuracy in models and simulation results, performance, etc.) 9. Drives machine learning best practices and set standards 10. Builds and owns ML solutions that are easy for others to contribute to. Knows how to document solutions, make them auditable, available, and accessible. 11. Designs solutions and provides guidance that utilize and improve on state-of the-art techniques. Takes a long term view of the business objectives, system wide view of product roadmap, technologies, and how they should evolve. #0000

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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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.