Amazon Go Store in the Amazon Seattle Campus

Careers

Advance the state of the art in customer-obsessed science.
Jared Wilber is seen standing on a beach wearing an Amazon Science t-shirt
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

1,307 results found
  • US, WA, Seattle
    Job ID: 2251418
    (Updated 4 days ago)
    Job summaryAre you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon, and subsequently make Amazon their default starting point for future shopping journeys. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand contents that customers trust, and furnish customers with these contents in a way that is precisely tailored to their individual needs at any stage of their shopping journey. Key job responsibilitiesWe are looking for an Applied Scientist to join our rapidly growing Seattle team. As an Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning. Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in shallow and deep learning ML models, particularly in NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skilset.Major responsibilities:Use statistical and machine learning techniques to create scalable and lasting systems.Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithmsDesign, develop and evaluate highly innovative models for NLP.Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.Research and implement novel machine learning and statistical approaches, including NLP and Computer VisionA day in the lifeIn this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. About the teamOur team puts a high value on your work and personal life happiness. 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 you. 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 establish your own harmony between your work and personal life.
  • US, Virtual
    Job ID: 2251416
    (Updated 0 days ago)
    Job summaryAre you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand content that customers trust, and furnish customers with the content in a way that meets their needs at any stage of their shopping journey. Key job responsibilitiesUse statistical and machine learning techniques to create scalable and lasting systems.Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithmsDesign, develop and evaluate highly innovative - Work closely with teams of scientists and software engineers to drive real-time model implementationsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.Research and implement novel machine learning and statistical approaches, including NLP and Computer VisionA day in the lifeIn this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. About the teamOur 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.We put a high value on your work and personal life happiness. 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 you. 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 establish your own harmony between your work and personal life.
  • US, WA, Seattle
    Job ID: 2250761
    (Updated 4 days ago)
    Job summaryAmazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertising Console Product and Technology team is a group of creative individuals whose vision is to make the Amazon Advertising Console (AAC) the most loved and used tool for all advertisers to market and grow their businesses, brands, and products to a global customer base. The AAC is a collection of federated applications that combine to form the face and brand of Amazon Advertising. ACPT owns the delivery of the software, processes, and tools that allow teams across Amazon to build, support and enhance applications and features that deliver a cohesive advertising experience to all advertisers worldwide. By using our development kit and reusable components, developers can rapidly build features that integrate seamlessly within the suite of advertiser products. We use survey research, data science, machine learning, experimentation, and predictive modeling to understand advertiser dynamics, drive platform optimization, support evidence-based decision making, and help to develop predictive, intelligent features. As the Applied Science Manager on this team, you will: Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.Analyze historical data to identify trends and support optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon has invested 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 ~ https://youtu.be/zD_6Lzw8raE
  • US, WA, Virtual Location - Washington
    Job ID: 2251415
    (Updated 4 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, MA, Westborough
    Job ID: 2251190
    (Updated 1 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 2023 to June 2023. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, 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.
  • (Updated 4 days ago)
    Job summaryAmazon Selection and Catalog Systems organization is seeking an Applied Science Manager for leading initiatives for algorithmically improving data quality for billions of products in Amazon's Catalog. As an applied science manager, you will lead a team of experienced Applied Scientists to create models and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML techniques that can drive understanding and improvement of product information with a high precision and scale to new countries and languages.The leader will drive investments in cutting edge machine learning: natural language processing, computer vision and artificial intelligence techniques to solve real world problems at scale. The research findings directly impact million's of Amazon's customers. We are looking for an entrepreneurial, experienced Applied Science Manager who can turn a group of Machine Learning Scientists (PhD's in NLP, CV) to produce best in class solutions. The ideal candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry.Key job responsibilitiesManage business and technical requirements, design, be responsible for the overall coordination, quality, productivity and will be the primary point of contact for world-wide stakeholders of programs and goals that you lead.Partner with scientists, economists, and engineers to help deliver scalable ML scaled models, while building mechanisms to help our customers gain and apply insights, and build road maps for the projects you own.Track service levels and schedule adherence, and ensure the individual stakeholder teams meet and exceed their performance targets.Be expected to discover, define, and apply scientific, engineering, and business best practices.
  • (Updated 4 days ago)
    Job summaryAmazon's F3 (Fresh, Food Fast) team in Europe is seeking a truly innovative and technically strong data scientist with a background in machine learning, and statistical modeling/analysis, as well as time-series forecasting. We are looking for a highly motivated, analytical and detail-oriented candidate to help build scalable prescriptive & predictive business analytics solutions that supports various aspects of Amazon Grocery business. You are a pragmatic generalist. You can equally contribute to each layers of a data solution – you work closely with product managers and stakeholders to define the inputs and the outputs; liaise with with business intelligence engineers to obtain relevant datasets and prototype predictive analytic models and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.Key job responsibilitiesTo be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy.Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projectsBuild models that predict changes / prescribe solutions and incorporate inputs from product, engineering, finance and marketing partnersApply data science techniques to automatically identify trends, patterns, and frictions related to a wide variety of operational topicsWork with BIEs and WW Data Engineering team to deploy models and experiments to productionIdentify and recommend opportunities to automate systems, tools, and processes.A day in the lifeIn a week, you will spend 20% of your available time working with the stakeholders on scoping or demo-ing a new feature for an existing solution or a completely new solution.As a Data Scientist, this time will be also spent advising on advanced experiment design & analysis to the business.20% will be spent on operational excellence tasks, that are planned in advance.50% of your time will be about building the solutions.10% is allocated for urgent non-planned work.Of course, the time for you to learn a new technology, attend or present at an internal analytics conference is baked into workload planning.About the teamThe team has both Data Science and Business Intelligence skillset, which allows to create solutions at the intersection of two disciplines and learn from each other.We interact with multiple stakeholder groups, including Vendor Managers, Amazon Vendor Services, Category Leaders, PMs, Operations - creating solutions that bring several groups of stakeholders together.
  • US, IL, Virtual Location - Illinois
    Job ID: 2250793
    (Updated 4 days ago)
    Job summaryThe People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.We are looking for economists who are able to apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team.Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.Key job responsibilitiesUse causal inference methods to evaluate the impact of policies on employee outcomes. Examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. Use scientifically rigorous methods to develop and recommend career paths for employees. A day in the lifeWork with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the teamWe are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer.
  • US, CA, Sunnyvale
    Job ID: 2249417
    (Updated 5 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:We are looking for a passionate, talented and inventive Applied/Research Scientist - Audio to join our team. As part of the larger technology team working on new consumer technology, your work will have a large impact to hardware, internal software developers, ecosystem, and ultimately the lives of Amazon customers. You must love high quality signal processing, have a strong desire to develop world's best machine learning based solutions for audio problems, enjoy adjusting codecs, optimizing audio frameworks, and have a feel for what a good consumer experience should sound like. In this role, you will:Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer productsWork closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and testDevelop new audio and speech processing algorithms using signal processing, DNNs, and other state-of-the-art machine learning techniquesOptimize and port to different platforms audio and speech processing algorithms with focus on Voice Communication and Speech RecognitionIntegrate vendor hardware and software stacksBe able, and willing, to multi-task and learn new technologies quicklyBe responsive, flexible and able to succeed within an open collaborative peer environment
  • US, MD, Annapolis Junction
    Job ID: 2249305
    (Updated 5 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.
4 of 131

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
California
San Francisco
Massachusetts
New York
Pennsylvania
City
Texas
City
Virginia
Washington

Working at Amazon

View all
Learn more about the scientists and academics working at Amazon.
View all