Customer-obsessed science

Alexa woman with Echo Buds in ear.jpg
Fulfillment Center OAK4 in Tracy, CA

Latest news

View all

Recent publications

View all
Load More
View from space of a connected network around planet Earth representing the Internet of Things.
Get more from Amazon Science
Sign up for our monthly newsletter
Subscribe

Research areas

Videos and webinars
Hear from Amazon scientists, watch interviews and panels, and more.

Up next

Meet our scientists On now
Meet our scientists
Yoelle Maarek, Alexa Shopping vice president of research and science On now
Yoelle Maarek, Alexa Shopping vice president of research and science
CVPR Panel - Computer vision: A look at the past, present, and future On now
CVPR Panel - Computer vision: A look at the past, present, and future
Women in Tech coffee talk at VLDB 2020 | Amazon Science On now
Women in Tech coffee talk at VLDB 2020 | Amazon Science
Swami Sivasubramanian keynote outtake from Amazon AWS re:Invent 2020 On now
Swami Sivasubramanian keynote outtake from Amazon AWS re:Invent 2020
More videos
Meet our scientists
Five scientists from across the company describe what they love about working at Amazon, and the type of customer-obsessed science and innovation they're responsible for in their role.

Working at Amazon

View all

Academic engagements

Learn more

Resources

  • Around Amazon.jpg
    Around Amazon
    Discover more customer-obsessed science at Amazon.
  • Amazon Science News
    Amazon
    In the news
    Find research from Amazon featured in the media.

Work with us

See more jobs
Applied Scientist
US, NY, New York
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.The Supply team (within Sponsored Products) is looking for an Applied Scientist to join a fast growing team with the mandate of creating new ad experiences that elevate the shopping experience for hundreds of millions customers worldwide. The Applied Scientist will take end-to-end ownership of driving new product/feature innovation by applying advanced statistical and machine learning models. The role will handle peta bytes of unstructured data (images, text, videos) to extract insights into what meta data can be useful for us to highlight to simplify purchase decisions, and propose new experiences that increase shopper engagement.As an Applied Scientist in Sponsored Products, you will:· Conduct hands-on data analysis, build large-scale machine-learning models· Work closely with software engineers to help deploy models into production.· Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving· Provide technical leadership and research new machine learning approaches that drive scientific innovation.· Work closely with product management to proactively identify opportunities where cutting edge science and research can help improve customer experience.· Collaborate with other scientists, mentor junior scientists (both within and outside of this team), and publish innovative work through multiple avenues within the Amazon Science Community.· Be an active member of the Amazon-wide Machine Learning Community, participating in internal and external conferences and events.· Help attract and recruit technical talent.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of self-service performance 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 highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou 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 fundamentally 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
Machine Learning Scientist
US, WA, Seattle
Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions including HBO and Showtime, and live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We need your passion, innovative ideas, and creativity to help continue to deliver on our ambitious goals.Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience ? Do you want to build advanced algorithmic systems that help millions of customer every day? If yes, then you may be a great fit to join our Amazon Prime Video team.A day in the lifeAs an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models.You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels.About the hiring groupWe are expanding our scene understanding team to drive compliance automation and exceptional customer experience using machine learning, computer vision, audio processing, and natural language understanding. Automation of video understanding at scale is our mission and passion. We need to solve problems across many cultures and languages. we have a huge amount of human-labelled data, and operation team to generate labels across many languages. Our team innovates, with many novel patents, inventions, and papers in the motion picture and television industry. We are highly motivated to extend the state of the art.Job responsibilitiesAs an applied scientist, you will apply your knowledge of deep learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. This is a greenfield with no "off-the-shelf algorithms" that can perform the job. We experiment a lot and it is a must to learn and be curios. You will be encouraged to see the big picture, be innovative, and positively impact millions of customersWe embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Science Manager
US, WA, Seattle
Join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers.A day in the lifeBuild advanced algorithmic systems that help optimize millions of transactions every day.About the hiring groupThe team builds the next generation of Machine Learning services for a wide spectrum of problems in areas such as Recommendations, Search Relevance, Catalog Quality, Online Ads, Pricing, Demand/Forecasting, and Conversational Systems.Job responsibilities“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.”Please visit https://www.amazon.science for more informationDo you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for our India Consumer Businesses. The team builds the next generation of Machine Learning services for a wide spectrum of problems in areas such as Recommendations, Search Relevance, Catalog Quality, Online Ads, Pricing, Demand/Forecasting, and Conversational Systems.The Manager, Machine Learning role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques. This is one of the most exciting machine learning job opportunities on the internet today. If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Sr.Data Scientist, Prime Video
US, NY, New York
Job responsibilitiesPrime Video is changing the way people watch movies and TV shows, with hundreds of thousands of titles available to stream and download on all your favorite devices - Amazon FireTV, iOS devices, Roku, game consoles and Fire Tablets. The mission of Prime Video- Product Analytics team is to drive product decisions that improve customer experience by building decision-making analytical products and deep customer insights. We are seeking a competent, curious, resourceful, and experienced Data Scientist who will work closely with other research scientists, machine-learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve optimization across all our powers our analytical ecosystem and day-to-day decision making. The scientist will also work with software engineers to put their algorithms into production. The team presents an exciting opportunity to work on very large data sets in one of the world's largest data warehouse environments. Our data warehouse is built on AWS cloud technologies such as Spectrum and Redshift for performing ETL processing of TBs of relational data.As a Sr. Data Scientist in this team, you will solve challenging problems that require a deep understanding of the Prime Video business in the context of engagement and revenue. You will identify specific and actionable opportunities to solve existing business problems in the Prime Video ecosystem, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced data extraction and transformation tools (e.g Spark, python, SQL), and will need to understand the source data and be able to synthesize it down to a form suitable for answering specific business questions, machine learning and econometric modeling. Your work will have a direct impact on the day-to-day decision making in the Prime Video team.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
L5 Applied Scientist
US
The Operation Research Science Team in the Amazon Devices Demand Planning org is looking for an Applied Scientist with a background in Operations Research and Management Sciences. Our team is responsible for optimization algorithms which run world-wide supply chain which for the Amazon Devices business, which includes: tablets, eReaders, echo, Alexa, cameras, and other smart home appliances. We formulate and solve challenging large-scale optimization problems which ingest demand forecasts and produce optimal procurement, production, distribution, and inventory management plans. We are also responsible for the long-term build capacity planning, which involves deciding on: whether we should green-light products; the level of investment in capital expenditures; material resources, inventory levels; and overall financial performance. We also work closely with the demand forecasting, material procurement, production planning, finance, and logistics teams to optimize our inventory allocation in our worldwide channels given operational constraints.A day in the lifeThe successful candidate will be a self-starter, with strong OR/Optimization research and implementation skills, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business.About the hiring group(See elevator pitch for team description and mission.)Job responsibilities· Design and develop advanced mathematical, optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of supply chain optimization, network flows, demand planning, inventory management and distribution.· Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming, model predictive control) and algorithms to design optimal or near optimal strategies, to be used by in-house decision support tools and software.· Research, prototype and experiment with these models by using modeling languages such as Python, MATLAB, Mosel or R; participate in the production level deployment.· Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.· Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.· Create, enhance, and maintain technical documentation, and present to other Scientists, Product, and Engineering teams.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Applied Scientist
US, TX, Austin
The AWS Applications team builds powerful, intuitive, and market-defining business and productivity applications to help our customers stay ahead of their changing business needs, and remove the burden of undifferentiated heavy lifting that business users go through daily. These applications leverage the power of machine learning and the large ecosystem of AWS services such as SageMaker, AWS Lambda, Amazon S3, and Amazon QuickSight to provide a truly frustration-free, easy-to-use, extensible, and natural customer experience. We are hiring for a new data science team in AWS Applications to focus on solving problems at massive scale. This is a unique green-field chance to join a new team, and has tremendous opportunity for career growth.Joining the AWS Apps team gives you the opportunity to:· Solve challenging problems and help customers modernize their core IT applications· Work for a company that’s a recognized leader in the cloud computing space· Have direct impact on hundreds of thousands of users of AWS Apps services· Be involved in the fast growing big data space – learn from the expertsWhat you will do hereWe are looking for a seasoned applied scientist with expertise in mathematical optimization to join the team. In this position, you will play a pivotal role in building the brain behind AWS applications. You will be responsible for building models, prototypes, simulations, and state-of-the-art optimization algorithms that can scale across several product lines. You will advise and closely collaborate with product and engineering teams to develop innovative products that disrupt established industries. In this role, you will also work closely with the renowned machine learning and optimization community at Amazon.The successful candidate must have exceptional analytical skills and demonstrated experience developing and implementing machine learning and optimization solutions in organizations. We are looking for a proven ability to execute both strategically and tactically, and someone who is excited to take on new, ambiguous projects that will be industry defining. As a senior science leader on the team, your specific responsibilities will include:· Understand customer problems and define solutions for optimization challenges in new product areas· Develop scalable mathematical models to help customers derive optimal or near-optimal solutions· Prototype and implement new learning algorithms and prediction techniques· Create simulations to test devised solutions· Advise and collaborate with product and engineering teams to design and implement software solutions for machine learning and optimization problems· Help hire and build a growing science community in the AWS Applications spaceInclusive 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 14 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.This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.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. 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.
Data Scientist, Alexa AI
US, CA, Sunnyvale
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon products and services. Come join us!As a Data Scientist, you will be responsible for data-driven improvements to our spoken language understanding models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.You will:· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· · Clean, analyze and select data to achieve goals· · Build and release models that elevate the customer experience and track impact over time· · Collaborate with colleagues from science, engineering and business backgrounds.· · Present proposals and results in a clear manner backed by data and coupled with actionable conclusions· · Work with scientists and engineers to develop efficient data querying infrastructure for both offline and online use cases
Manager, Machine Learning Solutions Lab
US, VA, Herndon
Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Research Science Manager in the ML Solutions Lab team, you'll partner with technology and business teams to build new solutions that delight our customers. You will be responsible for leading a team of data/research/applied scientists, deep learning architects, and ML engineers to build machine learning and deep learning models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will do all that while yourself maintaining an active personal engagement in the same kind of work at the same kind of high level that you expect from your team.The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.The primary responsibilities of this position are to:· Interact with customers directly to understand the business problem· Lead a team of scientists and engineers, oversee development and research projects at various stages ranging from initial exploration to fully functional and scalable solutions.· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.· Work closely with account teams, science teams and product engineering teams to drive model implementations· Drive new business and product initiatives, championing ideas that move our business forward· Employ a data driven approach to ensuring the success and outcomes of our ML engagementsThis position requires that the candidate selected be a U.S. citizen and hold (or be able to obtain) active Secret security clearance.Inclusive Team CultureAbout 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 we 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 14 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. 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.
Data Scientist, WW Consumer Controllership Data Science
US, WA, Seattle
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon's Operations?A day in the lifeYour contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.About the hiring groupEvery time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon Operations, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.Job responsibilitiesHere in WW Consumer Controllership Data Science our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Leveraging a large repository of supply chain data to develop models to classify, forecast, or detect anomalous costs.· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist
ES, M, Madrid
At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.You will be joining the EU Item Data Quality (EUIDQ) team. As part of InTech, EUIDQ strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to cutting edge big data and machine learning technologies, along to all Amazon catalog technology stack, and you'll be part of a key effort to improve our customers experience by tackling and preventing defects in items in Amazon's catalog.We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will own the definition, training and validation of the machine learning models, and you will work closely with the software engineering team to deploy and operate these models at scale.Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!This position will be based in Madrid, Spain
Applied Scientist - Computer Vision
DE, BE, Berlin
Customer Reviews, Deals and Content Moderation are community driven experiences that are key to the Amazon experience worldwide. Join the applied research team in Berlin, Germany supporting Community Shopping and driving the customer experience for these important programs.The problems are real, with tangible customer impact. The work sits at the intersection of research and engineering, driving better quality in our reviews corpus, ensuring appropriate content across customer-submitted images and video at massive scale. You will partner closely with our engineering teams to develop novel algorithms, present your work to product and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions.We are an applied research group in Berlin, Germany creating novel solutions in collaboration with product and engineering teams at the core of some of Amazon’s biggest and most engaged systems. If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist positions for all levels of experience and this is what we are looking for:Major Responsibilities:· Design, implement and evaluate novel computer vision algorithms· Work on large-scale datasets, creating scalable, robust and accurate computer vision systems· Collaborate closely with engineers to drive systems from prototyping to production level· Collaborate with teams spread all around the world
Sr. Applied Scientist
US, WA, Seattle
The Amazon Global Communities (AGC) team’s primary charter is to build physical and digital communities for Amazon partners. The team has recently launched a social media platform for Amazon partners to collaborate and learn from each other and is looking for an experienced, self-starter, driven, and detail-oriented Applied Scientist to develop a roadmap, write requirements, and work with technical and non-technical stakeholders to build an Enterprise data science platform for internal business stakeholders to use and collaborate on a daily basis.This charter requires the leader to build innovative matching and ranking solutions across very diverse categories, with an amazonian focus on our customers and on the long-term. We dive deep to figure out how customers interact with our social media technology, then we turn these learnings into innovative machine learned matching and ranking solutions to improve customer satisfaction and business metrics.In this role you will leverage your strong background in Computer Science, Natural Language Processing, and Machine Learning to help build the next generation of our model development and assessment pipeline, harnessing and explaining rich data at Amazon scale, and providing automated insights to improve machine learned matchers and rankers that impact thousands of community managers each day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The candidate will have experience with machine learning models and information retrieval systems at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.If this describes you, come join Amazon Global Communities. Our teams are using advances in search and information retrieval, machine learning, natural language processing, real-time and distributed systems to convert requirements into concrete deliverables. An Applied Scientist at Amazon will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.
Data Scientist II
US, CA, San Francisco
Envision being a member of a small, agile team where your ideas reach millions within months, not years. Picture working on groundbreaking consumer-facing products, where every single team member is a critical voice in the way we make decisions. Envision being able to use the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born amongst engineers, and come to life as the Digital mp3 Store, Cloud Player, and Prime Music ad-free streaming.In San Francisco we own and develop Amazon's core digital music experiences such as the Cloud Player music locker and the MP3 Store, which has a catalog of 25 million songs from all major music labels. Our music offerings are available in multiple countries, and our applications support our mission of delivering Your Music, Everywhere. We can be found on mobile and tablet platforms such as Kindle Fire, iOS, and Android as well as on Home and Auto platforms. We develop software in Java, C++, HTML5/JavaScript, Perl, Python, and various AWS technologies.We are located in downtown San Francisco in the heart of the financial district. We’re easy to reach by bike, bus, MUNI and BART.You are someone who enjoys diving deep into data to generating insights that will help drive business strategy while maintaining a customer focus. You will have demonstrated quantitative and qualitative experience with impact to a business, a track record of problem solving using software and analysis tools, and the desire to create and build new processes. You will be required to quickly gain a deep understanding of our BI platforms, database schemas, ETL’s, and business logic. You will partner with the Metrics and Data Platform team on metrics creation, data governance, QA, and requirements creation. This is a business facing role where supporting Product, Engineering, Merchandising, Marketing and Leadership teams with data analysis. You will help to optimize product and business strategies based on your findings.You are highly-motivated and thrive in an environment where problems are open-ended. You enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top. You see your mistakes as learning opportunities and continually look for ways to improve yourself, your team and your products. You understand that not all solutions come easily and don’t shy away from hard work to reach your goals. You are excited about the opportunity to engage in developing a top notch consumer web application and user experience.
Sr. Data Scientist, Amazon Devices
US, WA, Seattle
The candidate in this role will own delivery of internal science products and solutions that help Amazon Devices make better decisions: forecasting, segmentation, financial incrementality, etc.A day in the lifeYou will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.About the hiring groupWe 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.Job responsibilitiesThe Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Customer Behavior team provides customer engagement support to the broader organization for Kindle, Fire, Echo, and emerging products – established and emerging countries, worldwide.We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a strategic partner to the product managers and engineers on the team.Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. This Data Scientist role is responsible for building quantitative systems and predictive models that are critical inputs to Amazon’s financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.In this role, you will be a technical expert with massive impact. You will take the lead on developing our forecasting technology for key Devices metrics. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.Key Performance Areas· Implement statistical or machine learning methods to solve specific business problems.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Directly contribute to development of modern automated forecasting systems· Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance· Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedbackAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist, Alexa AI
US, WA, Seattle
Do you want to join Alexa Artificial Intelligence (AI) - the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world? If your answers to these questions are “yes”, then come join us at the Alexa AI team. Our mission is to democratize AI, starting with Alexa, by making it intuitive and efficient to build, integrate, and operate AI that enforces security and privacy as foundational primitives.With the Alexa AI team, you will be working alongside a team of experienced machine learning/deep learning scientists and engineers to build solutions to identifying critical elements in speech, text and image data.You will be expected to:· Develop scalable machine learning/deep learning algorithms/models for speech, text and image analytics· Invent algorithms for federated learning and weakly-supervised learning· Perform model/data analysis and monitor business metrics through online A/B testing· Help our team self-organize and follow machine learning best practices· Build relationships with customers and partner teams· Develop and mentor junior scientists
Applied Scientist II
US, MA, Cambridge
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As a Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.Position 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.
Sr. Data Scientist, Causal Inference
US, CA, Santa Monica
Are you seeking an environment where you can drive innovation? The Consumer Finance Science and Analytics (CFSA) team's mission is to inject advanced quantitative techniques into traditional financial analytics. We are data leaders, who identify and deliver actionable financial analyses and recommendations.As we expand our transportation footprint, Amazon faces important questions, including how can we identify and influence controllable factors to reduce transportation costs while driving the Amazon flywheel? CFSA is partnering with the Supply Chain Optimization Technologies (SCOT) finance team, who is dedicated to answering these questions using statistical and machine learning methods.Amazon is looking for the next outstanding Sr. Data Scientist to help build a brand new product – TRACE (Transportation Cost Explainer) led by SCOT. They will partner with a team of finance specialists, economists and business intelligence engineers to build models that explain Amazon’s transportation costs and decompose them into controllable and non-controllable levers.Our scientists raise the bar on our ability to fulfill promises to customers and business leaders at greater speed and value through:· Working with technical and non-technical stakeholders across every step of science project life cycle.· Collaborating with our dedicated finance, product, engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and connecting them to levers that that shapes management decisions.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.
Applied Scientist II
US, NY, New York
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As an Applied Scientist on this team you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and 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.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering 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 highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou 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 fundamentally 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
Sr. Economist, Prime Gaming
US, WA, Seattle
Amazon Games applies the principles of Amazonian culture to the world of game design. We’ve got a diverse team of talented, creative people pairing their love of making games with all the unique strengths of being part of Amazon. Across all our teams and locations, we’re united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games—and we’re looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you’ll have the chance to innovate in gameplay, creativity, and technology, while working alongside some of the smartest and most creative minds in the industry.Want to build models which deliver immediate business impact? Come work directly with partners and business leaders to grow Prime Gaming by delivering data-driven insights that help leadership optimize content and perceived value to our customers!This role allows you to influence the frontier of business development and will challenge you to master complex data sets, use programmatic evaluation and / or econometric models to address complex problems, design and test hypotheses, and build automated decision-making systems. You will work at the intersection of Business Intelligence, Fraud Prevention, Content and Operations, Marketing, and Finance teams to collaborate cross-functionally with scientists, analysts, engineers, and product leaders.An ideal candidate is an experienced, resourceful, and independent problem solver who can deploy scalable and sophisticated scientific solutions under challenging time constraints. If you have these skills and are excited about making a big impact in the gaming industry, we are looking for you!KEY RESPONSIBILITIES· Use the breadth of Amazon's available data to drive insights and recommendations for business leaders in growing the Prime Gaming business.· Partner with senior leaders to identify opportunities to test hypotheses that can drive customer acquisition, engagement, or retention.· Own the end-to-end execution of research projects from project planning, data ingestion, exploratory analysis, model development, and productionization in collaboration with a team of scientists, analysts, and engineers.· Advocate for broader understanding of scientific methods and analysis within a fast-moving business organizationAbout Amazon GamesAmazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.Inclusive Culture, Work/Life Balance, & Career GrowthHere at AWS, we embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
Economist - Ads Measurement Science
CA, ON, Toronto
Passionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.A day in the lifeSome things you'll do in this role:Work closely with other scientists and engineers to architect and develop the best technical design and approach.Be a hands-on technical leader, developing novel algorithms and applications to solve hard problemsDeliver with independence on challenging large scale problems with significant ambiguityWrite cogent summaries of your work, accessible to other science and business leadersAbout the hiring groupPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Job responsibilitiesPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Some things you'll do in this role:· Work closely with other scientists and engineers to architect and develop the best technical design and approach.· Be a hands-on technical leader, developing novel algorithms and applications to solve hard problems· Deliver with independence on challenging large scale problems with significant ambiguity· Write cogent summaries of your work, accessible to other science and business leadersWe are open to hiring this role in Boulder/Denver, Chicago, Toronto, Santa Monica, Arlington, Jersey City/NYC, Austin, and Seattle#madsjob#sspajobsAmazon is committed to providing accommodations at all stages through recruitment and employment in accordance with applicable human rights and accommodation legislation. If contacted for an employment opportunity, please advise Human Resources if you require accommodation, including in order to apply for a position.
View from space of a connected network around planet Earth representing the Internet of Things.
Get more from Amazon Science
Sign up for our newsletter
Subscribe
Amazon.com | Conditions of Use | Privacy | © 1996-2021 Amazon.com, Inc. or its affiliates
Follow Us