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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

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2,159 results found
  • US, CA, Palo Alto
    Job ID: 2194329
    (Updated 2 days ago)
    Job summaryInterested in using AI to improve the shopping experience of millions of customers? Amazon Search has the perfect job for you.Amazon is among the top 10 most-visited website worldwide. About half of Amazon customers purchase products through Amazon Search. Our vision is to help customers shop with ease and confidence. We use deep learning, reinforcement learning, and other AI techniques to optimize our customer’s experience. We pride ourselves with making positive impact on millions of customers every day. According to a survey by the National Retail Federation, 46% of online shoppers are simply browsing for inspiration. In the next three years, we will expand Amazon from a place that primarily serves customers on a buying mission, to a place customers enjoy turning to for shopping inspiration. We create experience worldwide that is attractive to diverse customers by dynamically serving content based on customers’ interests and preferences and allowing customers to seamlessly perform multi-modal search using voice, text, and images. We invite you to join us on this journey of transformation. Key job responsibilitiesAs the Sr. Manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead teams of scientists and engineers to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable AI solutions that support flexible UI frameworks. You will solve hard problems, advance science at Amazon, and be the leading innovator in e-commerce. You will be a member of the core executive group that influences the business strategy across many organizations. A day in the lifeEvery day we face the challenges of a fast-paced market and expanding technology set. Every day is Day One. If you enjoy challenges and learning new things, this is an ideal job for you.About the teamThe Autocomplete team's mission is to assist customers expressing what they are looking for with minimum effort. We delight customers by allowing customers to use any means of search they prefer: asking Alexa, taking a photo of a fashion magazine page, or typing. We create shopping experiences that make our customers feel like they have a personal shopping assistant guiding them through their shopping journey. Whether a customer is looking for shopping inspiration or knows exactly what to buy, we surface the right suggestions personalized to each customer's unique shopping needs. We grow our relationship with customers by leveraging our deep understanding of their shopping mission to provide relevant and timely suggestions. In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team’s work is visible to millions of customers.
  • (Updated 2 days ago)
    Job summaryWe live in a connected world and WiFi has become a critical component to every home. eero, an Amazon Company, is the first product to deliver a whole home WiFi experience using mesh technology to make sure you never have to worry about WiFi ever again.Data powers the future of eero. We rely on data to inform and drive product decisions, improve operations between ourselves and our business partners, set marketing strategies, enhance our partners' ability to glean valuable insights from their fleets, allow our partners to provide better support for their customers, and much more.About the RoleAs a Data Scientist on the B2B Product team at eero, you will participate in product development by bringing analytical and statistical expertise to solve new and complex problems. Working closely with our B2B product & engineering leadership, you will dig deep into the hardware system and RF metrics generated by our partners' large deployments of consumer mesh networks to drive the understanding, growth, and success of eero routers. You will help evaluate and ensure the success of newly released software features utilizing data from our mobile applications, wifi performance, and cloud metrics. Key job responsibilitiesBecome a subject matter expert at the data eero collects, regularly performing analyses independently as well as in response to product team requestsProvide product and feature recommendations based on data analysisGuide our engineering team in matters of what data to collect, schema design, and approaches to transforming data for use in customer-facing applicationsWork closely with engineers to develop new data-driven featuresBuild, maintain, and curate a corpus of analyses based on eero's current and future data collection that will be consumed by our product team.Stay up-to-date on the latest data analysis techniques and approaches.
  • US, IL, Virtual Contact Center - IL
    Job ID: 2194021
    (Updated 2 days ago)
    Job summaryAmazon's Simple Storage Service (S3) offers industry-leading scalability, data availability, security, and performance. S3’s Automated Reasoning Group (S3-ARG) develops and applies automated reasoning techniques to deliver correct, secure, durable, and available distributed systems and storage services. S3 is complex: it consists of hundreds of micro-services each of which is a distributed system. With a very large number of servers and 10s of millions of requests per second, it is also highly concurrent. S3 has a sizable codebase, developed and maintained by a large team of engineers. Getting such a complex and fast-evolving system right requires developing cutting edge automated reasoning methods that are continuously integrated into the software development process. This is what our team does.We work on techniques ranging from deductive proofs to model checking, from static analysis to runtime verification of protocols. We work both at the design and the code level, and connecting the two is essential for us. We partner with development teams to make sure that our methods are deployed across S3 and that correctness is maintained as the software evolves. We have had significant success with adoption and we are key contributors to recent S3 launches such as strong consistency. We are developing innovative methods all the time. We publish our results at conferences and journals.We are a diverse team and are looking for teammates who are enthusiastic to work on these problems and further the state of the art with us. We are seeking candidates who are deep in one area of expertise but also broad enough to take on the most complex cloud computing challenges. If you are interested in exploring, please e-mail UsInclusive Team CultureHere 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. 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.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 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 GrowthOur 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, CA, Virtual Location - California
    Job ID: 2193819
    (Updated 2 days ago)
    Job summaryThe Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Principal Research Scientist with significant experience leading quantum devices related science programs. As a Principal Research Scientist, you will partner with senior leadership to develop long term strategic solutions and also work alongside quantum scientists, physicists and engineers. You will use your expertise to direct, mentor and do hands-on work that may include design, simulation, fabrication, build and testing of novel devices for quantum technologies.We are looking for candidates with a track record of original scientific contributions with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum information science.The ideal candidate:• Is entrepreneurial and innovative, and thrives on solving challenging, ambiguous problems by applying scientific principles to solve problems• Has built a strong followership, (e.g., a reputation for hiring and developing strong teams)• Is adept at delivering short-term results while also building towards the future• Can work fluently across the research, technical and business aspects of the job• Excels at leadership and stakeholder managementAbout the teamWork/Life BalanceAt the AWS Center For Quantum Computing, we understand that developing quantum computing technology is a marathon, not a sprint. Mental and physical wellness is encouraged within our team and throughout AWS. The work/life integration within Amazon encourages a culture where employees work hard and have ownership over their downtime. We are exploring more structured wellness elements including meditation scheduling, running group meet-ups, and a culture of sharing wellness tips.Mentorship and Career GrowthWe are committed to the growth and development of every member of the Center for Quantum Computing. You will receive career-growth-minded management and mentorship from a software and science team and also have the opportunity to participate in Amazon's mentorship programs. You will work closely with quantum research scientists and have opportunities to learn about quantum computing technology and contribute to the development of scientific software for quantum computing at AWS.Inclusive and Diverse CultureThe AWS Center for Quantum Computing is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds to build a world class team. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with their peers. With quantum computing being a new and growing initiative within AWS, you would have an opportunity to make an impact on our budding team culture.
  • US, WA, Seattle
    Job ID: 2194205
    (Updated 2 days ago)
    Job summaryIf you are you seeking an environment where you can drive innovation, collaborate in a team of +30 researchers, applied and data scientists, move marketing science to the edge of the industry to make sure our customers receive the advertising they vote for: keep reading.We look for inquisitive, life long learner with a keen interest on evidence driven decision making, e-commerce and digital businesses and understanding of customer behavior. We are seeking an economist with ecommerce industry experience, on off-site marketing experimentation and a causal inference background. If this is you, read on!In the spirit of insisting on highest measurement and insights standards and of building consistency across the marketing portfolio Customer Behavior Analytics (CBA) organization is creating a new function that will take on the challenge to build the best Measurement Mechanism in the industry for our marketing portfolio via Randomized Control Testing across all marketing channels, all geographies, all businesses in Amazon. This is a role to flesh out a nascent new program that aspires to be the beacon for the industry. So this is genuinely a unique opportunity for candidates to emerge as world class experts in a fast evolving, ever green domain. Key job responsibilitiesDesign and build scalable analytic solutions using statistical models to measure the business impact of cross channel marketing spendWork closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategiesDevelop a library of measurement, decision making and machine learning algorithms to enable data-driven decision makingSupport engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon
  • US, NY, New York
    Job ID: 2194176
    (Updated 2 days ago)
    Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses. Our products are used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses a combination of econometrics, machine learning, and data science to build disruptive products for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to senior leadership. We are looking for an experienced Applied Scientists who have a deep passion for building machine-learning solutions, ability to communicate data insights and scientific vision, and execute strategic projects.As an Applied Scientist on this team, you will:• Build full life-cycle machine learning solutions; build models and perform data analysis to deliver scalable solutions to business problems.• Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.• Work closely with software engineers on detailed requirements to productionize the ML models you build.• Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.• Research new innovate machine learning approaches.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video QUALIFICATIONS• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field• 2+ years of experience of building machine learning models for business application• Experience programming in Java, C++, Python or related language
  • (Updated 2 days ago)
    Job summaryInterested in Alexa AI? We’re building the AI & ML based language solutions behind Amazon Echo and other Amazon products. Come join us!The Alexa Natural Language Understanding team is seeking a talented, self-directed Applied Science Manager to join the team owning a wide array of highly impactful Natural Language Understanding (NLU) applications in many languages, providing thousands of customers the ability to interact with Alexa in the most natural way possible.Key Responsibilities: Management of Research and Applied ScientistsProviding technical and scientific guidance to the teamStrategic planning for scientific projectsDriving successful completion of scientific projectsInculcate a culture of scientific thinking, exploring emerging technologies and advancing the state of the art in Natural Language UnderstandingDevelop collaborations with other science teams both within Amazon and externally (academic collaboration)Identify emerging trends in Science and its applicability to AlexaPublish research papers in venues of repute; Conduct workshops, challenges in area of NLUThe successful candidate will:Leads effectively and prioritizes wellHires and develops great peopleIs able to dive deep and is never out of touch with the details of the technologyIs results-orientated and has a consistent track record of delivery.Able to communicate effectively with senior management as well as with colleagues from science, engineering and business backgrounds; Ability to author well written documents
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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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South Australia, AU
New South Wales, AU
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Shanghai, CN
Beijing, CN
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Hyderabad, IN
Bengaluru, IN
United Kingdom
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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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