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Advance the state of the art in customer-obsessed science.
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Our goals for Machine Learning University are twofold: the first is to teach machine learning to people who have no experience ... the second is to help people who already have some experience and want to sharpen their skills.
Jared Wilber, data scientist

Find jobs in science

2,159 results found
  • CN, 31, Shanghai
    Job ID: 2194427
    (Updated 0 days ago)
    Job summaryAmazon 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 groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?The Role:You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness.Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques.In this role, you will:Evaluate and optimize thermal solution requirements of handheld consumer electronic productsUse simulation tools like FloTherm XT/EFD for analysis and design of productsValidate design modifications for thermal concerns using simulation and actual prototypesEstablish temperature thresholds for user comfort level and component level considering reliability requirementsHave intimate knowledge of various materials and heat spreaders solutions to resolve thermal issuesUse of programming languages like Python and Matlab for analytical/statistical analyses and automationCollaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectivesDesign and execute of tests using statistical tools to validate analytical models, identify risks and assess design marginsConduct design analysis of complex mechanical systems and electronic assemblies to verify the design health, using structural analysis tools such as FEADevelop and apply design guidelines based on project learnings
  • US, WA, Seattle
    Job ID: 2193875
    (Updated 2 days ago)
    Job summaryAt Amazon's Alexa Web Info, our vision is to delight customers by answering questions they ask Alexa on any device or any language by leveraging the power of web. Alexa is changing the world and specifically how customers engage with AI. We are a tight night growing team in Alexa AI and we are creating a compelling business. We are seeking an innovative and technically strong data scientist with a track record of surfacing actionable insights from our data. To be successful in this role, you have a strong passion for analytics and accountability, set high standards with a focus on superior business outcome. You should also have strong business acumen who feels comfortable tackling ambiguous business problems in dynamic business environment. Your decision will influence VP and Director level product and business decisions that directly impact product roadmap and customer experience.Key job responsibilitiesThe successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, data science, and strong business acumen. As a Senior Data Scientist, you will discover and solve real world problems by analyzing one of the world’s largest datasets, developing statistical and machine learning models to drive business decisions, leading science research and development roadmap. You will also collaborate closely with business leaders, software engineers, and scientists. You will function as the tech lead of the team, setting the best practices for delivering high quality data science projects, influencing analytics roadmap, setting best practices, and providing guidance to the junior scientists.You will work on high visibility and high business impact problems. You will spend time formulating and defining science problem based on business requirements.You will translate business problems into analytical framework and form testing hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gapsYou have real-world experience solving medium to large sized statistical and machine learning projects. You will work on a diverse set of analytics problems, such as user growth, pricing, forecasting, causal inference, marketing research, experimentation, and other machine learning problems
  • US, MA, Boston
    Job ID: 2193923
    (Updated 2 days ago)
    Job summaryJoin us in building innovative services that protect AWS from security threats! As an Amazon Security Applied Scientist, you’ll help build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserve our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Our team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, scientists, and managers truly enjoy mentoring junior engineers, junior scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and code reviews.We care about your career growth. We assign projects and tasks based on what will help team members develop into more well-rounded scientists and enable them to take on more complex tasks in the future.Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.About UsHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Our 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 to both parts of 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.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re 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 professional and enable them to take on more complex tasks in the future.
  • US, WA, Seattle
    Job ID: 2194188
    (Updated 2 days ago)
    Job summaryAmazon’s Global Learning & Development (GLD) Learning Science and Engineering team is growing quickly and is looking for a skilled, driven, applied scientist to develop solutions and innovate at the intersection of human and machine learning. The Learning Science and Engineering org is reinventing workplace learning by building the programs, products, technologies and mechanisms that make learning effective and scalable for Amazon employees. We use machine learning to augment human decision-making to accelerate and personalize learning and skill development. We have a passion for raising the bar on learning and learning design at Amazon, and simultaneously contributing to the science of human and machine learning. We partner with multiple businesses across Amazon to explore ways to help Amazon employees grow their knowledge and capabilities. We publish research and present our work at internal and external conferences. We are looking for someone with a passion for learning and experience applying machine learning to augment human decision-making. The role will continuously improve learning programs using an array of creative approaches which drive productivity, innovation, and operational excellence. As an Applied Scientist, you will be working with scientists, engineers, learning designers, product managers, and stakeholders to deliver products or features of products that accelerate learning. Key job responsibilitiesSpecific responsibilities include:Design, develop, and implement machine learning models and solutions that can help accelerate human learning.Deliver Machine Learning insights for learners, learning designers, and business owners.Deliver data-driven solutions to assist learning designers to scale up best design practices.Deliver innovative and impactful solutions that can solve customer pain points.Deliver scientific findings about human learning to the broader science communities.
  • US, CA, Santa Clara
    Job ID: 2193747
    (Updated 2 days ago)
    Job summaryAmazon AI is looking for an Applied Scientist to join our science team in the area of Speech and Natural Language Processing. Our organization develops the science that drives the cloud-based AI services of AWS. Our mission is to put the power of AI into the hands of every developer. We seek to advance the state of the art in machine learning to create services that delight our customers and meet real-world business needs. As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products. We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact. Prior domain knowledge in speech, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Work/Life Balance Our 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 to both parts of 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. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
  • IN, TS, Hyderabad
    Job ID: 2193973
    (Updated 2 days ago)
    Job summaryAmazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for a Data Science Manager for its Payment Risk Mining Analytics (PRISM) team, whose mission is to combine advanced analytics with investigator insight to detect negative customer experience, improve system effectiveness, and prevent bad debt across Amazon.As a Data Science Manager, you will be responsible to lead design and deployment of scalable ML models to improve operational efficiency and reduce bad debt. This will include driving end-to-end solutions from understanding business requirements, exploring a large amount of historical data and ML models, building prototypes and exploring conceptually new solutions, to working with cross-functional teams and systems for prod deployment. This role combines science leadership, organizational ability, technical strength and business understanding. Candidate will lead PRISM’s India site team comprised of Data Scientists and Business Analysts.Key job responsibilitiesAs a Data Science Manager, you will:a) Lead scientists and analysts on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.b) Collaborate with software engineering teams to integrate successful ML models into large scale and highly complex production services.c) Report results in a scientifically rigorous way.d) Interact with other scientists, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for our products.e) Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.f) Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
  • (Updated 2 days ago)
    Job summaryThe Selling Partner Fees team owns the end-to-end fees experience for two million active third party sellers worldwide. We own the fee strategy, seller experience, fee accuracy and integrity, fee science and analytics, and we provide scalable technology to monetize all services available to third-party sellers. We are looking for an Applied Scientist to join us on improving accuracy in billion-scale fee transactions worldwide and enhancing our understanding of seller economics in the selection universe on and off Amazon. In this role you will develop large scale machine learning models to drive the fee calculations that impact billions of products listed by third-party sellers in the Amazon product catalog. You will develop supervised and unsupervised models that can scale to production requirement. You will participate in developing models at the intersection of deep learning and causal inference. You will collaborate with other Applied Scientists, Research Scientists, Data Scientists, Economists, Software Developers, and Product Managers. If big and rich data, large scale deep learning, state-of-art causal modeling and building intelligent systems excite you, we would like you to be on our team!Key job responsibilitiesResponsibilities:· Translate ambiguous fee related business problems into rigorous scientific models.· Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques.· Research and implement novel machine learning, statistical and econometrics approaches.· Write high quality code and implement scalable models within the production systems.· Stay up to date with relevant scientific publications.· Collaborate with business and software teams both within and outside of the fees organization.
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Science at Amazon around the world

Amazon scientists are working on hard problems in a variety of research areas across the globe. Click on a pin below to learn more about the customer-obsessed science being conducted at some of our global 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.