About Amazon Science

Amazon Science gives you insight into the company’s approach to customer-focused 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 bookmark this site and come back regularly to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. You can also follow us on Twitter, Facebook and LinkedIn to stay up to date.

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US, CA, Palo Alto
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.We are seeking a talented, entrepreneurial, and self-driven leader to take charge of allocating and pricing Sponsored Product ads in product pages through real-time auction. You'll be pioneering within a multi-dimensional optimization space which requires us to balance the interests of advertisers, shoppers, and Amazon. You’ll drive the engineering and science strategies within Sponsored Products organization, while also owning a broad mandate to influence various teams spread across Amazon retail business. You will be responsible for hiring and developing the individuals within your team and fostering a transparent, collaborative development environment.Responsibilities:· Own technical vision and direction for our product pages ad auctions and accompanying ML-based optimization systems.· Dive deep into performance and operational data and work closely with product, business and engineering teams to develop a compelling vision and roadmap.· Present technical plans to senior executives and key stakeholders and evangelize that technical vision within Amazon.· Hire, develop and retain top tier technical talent.· Drive efficient execution of new initiatives, including collaboration with advertising and partner teams.· Manage engineering and science teams responsible for critical high-availability infrastructure delivering ads across Amazon's sites and devices worldwide.
CA, ON, Toronto
We are pleased to announce an exclusive invitation only hiring event in Tel-Aviv, Israel in February 2020 to find talented Sr. Software Development Engineers to join the Amazon Advertising teams in Toronto!Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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.Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to come up with novel solutions that retrieves highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce. This is an opportunity to make a significant impact on the future of the Amazon vision.If you have the passion to build heuristics as well as machine learned models based on large-scale datasets, then the Amazon Sponsored Products Relevance team is a great place to be. The ideal candidate would have worked on distributed systems such as building data-driven systems or infrastructure that handle requests at large-scale or both. Experience with Machine Learning will be a bonus. Overtime, we do expect you to learn about Machine Learning and how feature engineering is done within Amazon. The opportunity challenges you to bring both science and engineering together to identify the most relevant Ads on Amazon’s product detail pages. Your work will impact the user experience of millions of Amazon’s customers.As a Data Scientist in our team, you will collaborate directly with developers and scientist to produce modeling solutions, you will partner with software developers and data engineers to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will analyze large amounts of business data, automate and scale the analysis, and develop metrics that will enable us to continually delight our customers worldwide. As a successful data scientist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.Major responsibilities include:· Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models 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 the design and development of automated selection systems· Build customer-facing reporting tools to provide insights and metrics which track system performance· Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support· Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
US, WA, Seattle
The AWS Infrastructure Hardware Engineering team is looking for a Data Science Manager to build tools and conduct analysis for those that must act on data and those that must use to inform decisions. You will allow leaders to find and understand the relevant and meaningful information that helps them make the best business decisions every day. We conduct research that spans every area of the data center - from server design, quality, business operations, and cost. Our work includes analyses, experimentation, and hands-off-the-wheel cutting machine learning solutions.Success in this role will require the courage to chart a new course. You will build your own team to understand all aspects of the associate experience. You and your team will inform senior business leaders by providing associate insights that will guide attraction, retention, and more. You will also inject science into the practice of Hardware Engineering at Amazon.The ideal candidate will be:· A Well-Rounded Athlete –Like a true athlete, you understand that we succeed or fail as a team. You are always ready to step up beyond your core responsibilities and go the extra mile for the project and your team. You nimbly overcome barriers to deliver the best products more quickly than expected.· A Perpetual Student – You seek knowledge and insight. You challenge yourself to turn moments into master’s classes. Whether closing a gap, developing a new skill, or staying ahead of your industry, you revel in the joy of learning and growing.· A Skilled Communicator – You excel when interacting with business and technical partners whether you are chatting, sending a written message, or conducting a presentation.· A Trusted Advisor – You work closely with stakeholders to define key business needs and deliver on commitments. You enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.· An Inventor at Heart – You innovate on behalf of your customer by proactively implementing improvements, enhancements, and customizations. Your customers marvel at your creative solutions to challenges they had not yet identified.· A Fearless Explorer – You are drawn to take on the hardest problems, navigate ambiguity, and battle skepticism. You never settle, even in the face of overwhelming obstacles.
US, WA, Seattle
Amazon.com seeks an exceptional Data Scientist to join our Sponsored Products Marketplace Finance team. The role will be a key partner to Amazon’s Sponsored Products Marketplace business, a high-growth business with a range of products offerings for advertisers and using “pay-per-click” business model. We love data and we have lots of it. We’re looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model as well as the relationship this business has with Amazon’s core eCommerce business – and leveraging this knowledge to help turn the flywheel of the business.As a key analytics partner, you will have the opportunity to work on one of the world's largest consumer and advertising data sets, as well as influence the long-term evolution of our products and the way they fit in Amazon's ecosystem to develop insights into different aspects of our business (monetization, shopper experience, advertiser experience, marketplace dynamics).This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including economists and other finance leaders, product managers, software engineers, data scientists as well as senior leadership.The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.This role will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. The role will involve translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for influence and growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s customers.
US, WA, Seattle
The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo.What will you help us create?The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology? Would you like to know more about how we are envisioning the use of machine learning, AI and linear programming to solve these problems? If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.As a data scientist, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device to provide customer great products. This role will be a key member of a Science and Data technology team based in Seattle, WA. You will work closely with other research scientists, machine learning experts, engineers to design and run experiments, research new algorithms, and find new ways to improve Amazon Device Services & Software products. You will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.The key responsibility for this role include:· Define proper output business Metrics, and build input models to identify patterns and drivers of the output. Drive actions at scale using scientifically-based methods and decision making.· Design and develop complex mathematical, statistical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions· Design experiments, test hypotheses, and build actionable models· Prototype these models by using modeling languages such as R or in software languages such as Python.· Work with software engineering teams to drive scalable, real-time implementations· Utilizing Amazon systems and tools to effectively work with terabytes of data
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.
US, WA, Seattle
The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As a Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
US, WA, Seattle
Amazon.com Services LLC (f/k/a Amazon.com Services, Inc.)-Seattle, WA-Multiple Positions Available1. Work directly with the chief economist and senior management on keybusiness problems faced in retail, international retail, cloud computing,third party merchants, search, Kindle, streaming video, and operations.2. Apply the frontier of economic thinking to market design, pricing,forecasting, program evaluation, online advertising and other areas. Build econometric models using data systems.3. Apply economic theory to solve business problems.4. Develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems.5. Apply tools from applied micro-econometrics (e.g. experimental design, difference-in-difference, regression discontinuity, and IV) and forecasting (essential time series models).6. Leverage big data tools for data extraction.7. Write up and present analysis for distribution to various levels ofmanagement at Amazon8. Some percentage of telecommuting benefits is available.#0000
US, MA, Cambridge
The Alexa Feedback organization owns a number of programs and domains which drive high customer engagement and feature discovery, maintains customer trust, understands customers’ feedback, develops new features that provide utility value for customers with special needs, and develops locally relevant experiences. The Alexa Experience Science team applies machine learning and natural language understanding algorithms to improve these programs and the functionality of domains such as News (“Alexa, What's the news?"), Feedback (“Alexa, that was wrong!"), Personality (“Alexa, what’s your favorite color?”), and to advance Alexa’s ability to handle more ambiguous utterances.We’re looking for a passionate, talented, and inventive Scientist to help build industry-leading ML technologies that help provide the best-possible experience for our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop new features, predict key user behaviors and deliver automated decisions, both offline and in real time.What You Will Do· Step in as an experienced member of a machine learning research team, establish technical credibility quickly, and help recruit elite machine learning practitioners.· · Contribute to setting up the research vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve.· · Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster.· · See it through — don’t stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems.· · Solve problems durably — design processes, tools, and programs that solve entire categories of problems without you or your team’s direct intervention.· · Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience· · Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders· · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· · Develop the skills of junior members through mentorship and training.
US, MA, Cambridge
The Alexa Feedback organization owns a number of programs and domains which drive high customer engagement and feature discovery, maintains customer trust, understands customers’ feedback, develops new features that provide utility value for customers with special needs, and develops locally relevant experiences. The Alexa Experience Science team applies machine learning and natural language understanding algorithms to improve these programs and the functionality of domains such as News (“Alexa, What's the news?"), Feedback (“Alexa, that was wrong!"), Personality (“Alexa, what’s your favorite color?”), and to advance Alexa’s ability to handle more ambiguous utterances.We’re looking for a passionate, talented, and inventive Scientist to help build industry-leading ML technologies that help provide the best-possible experience for our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to develop new features, predict key user behaviors and deliver automated decisions, both offline and in real time.What You Will Do· Step in as an experienced member of a machine learning research team, establish technical credibility quickly, and help recruit elite machine learning practitioners.· · Contribute to setting up the research vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve.· · Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster.· · See it through — don’t stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems.· · Solve problems durably — design processes, tools, and programs that solve entire categories of problems without you or your team’s direct intervention.· · Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience· · Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders· · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences· · Develop the skills of junior members through mentorship and training.
US, WA, Seattle
The Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon. If you are interested, send your CV, transcripts, and a cover letter to our mailing list at econ-internship@amazon.com.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
US, WA, Seattle
We are looking for a Machine Learning Scientist to join the Devices Planning team for the entire Amazon device family of products and accessories. We develop scalable and robust state-of-the-art algorithms that involve learning from large amounts of past data, such as customer engagement data (impression, clicks, transactions, etc.), product features (product attributes, price, promotion, etc.), merchandising activities, relevant products and users in order to drive more efficient customer engagement and business values. This role is central to the continued growth of the Device division as we have grown from the first Kindle e-reader to a vast portfolio of Fire tablets, Fire TVs, and Echo.You will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data, building prototypes and exploring conceptually new solutions, running online experiments, to working with partner teams for prod deployment. You will collaborate closely with engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, and analyzing predictive and optimization models.Key responsibilities:· Frame business problems into scalable solutions.· Prototype models by using programming languages such as Python and Scala.· Process and analyze relevant data; gather additional data sources that would improve model performance.· Create and track accuracy and performance metrics (both technical and business metrics).· Interact with business, product, and engineering teams to understand business requirements and operational processes.· Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.
US, WA, Seattle
We are looking for an experienced machine learning scientist to contribute at the forefront of cutting edge machine learning.If you are passionate about new technology trends in machine learning, cloud services and reducing the time and effort to develop and deploy machine learned solutions we would like to talk to you.Every day will bring new and exciting challenges on the job while you:· Learn and use advanced technologies· Collaborate with internal engineering teams, leading technology companies around the world and open source community· Evangelize deep learning technologies and services· Create innovative products, and see them launched in high volume productionAs a member of a science team in AWS AI, you will be working with cross-functional teams and customers to develop new AI features for AWS Elasticsearch service. This position within the AWS AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical expertise in machine learning, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
US, WA, Seattle
We are looking for an experienced machine learning scientist to contribute at the forefront of cutting edge machine learning.If you are passionate about new technology trends in machine learning, cloud services and reducing the time and effort to develop and deploy machine learned solutions we would like to talk to you.Every day will bring new and exciting challenges on the job while you:· Learn and use advanced technologies· Collaborate with internal engineering teams, leading technology companies around the world and open source community· Evangelize deep learning technologies and services· Create innovative products, and see them launched in high volume productionAs a member of a science team in AWS AI, you will be working with cross-functional teams and customers to develop new AI features for AWS Elasticsearch service. This position within the AWS AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical expertise in machine learning, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
US, WA, Seattle
Amazon Brand Protection organization focuses on building trust with all brands by accurately representing and completely protecting their brand on Amazon. Each brand and each product comes with a rich set of structured and unstructured data including images. We are looking for talented machine learning scientists to build authentic mapping between brands and products and to build innovative and scalable models to help protect brands. If you are passionate at solving real world problems using data and machine learning skills, if you are strong in diving deep for broad strategies, if you are capable of handling and making sense of large data sets, if you have a strong innovative mind, if you like challenges and like to deliver results in a fast pace environment, you are invited to join our team.Major responsibilities:· Understand business challenges by analyzing data and customer feedback· Collaborate with tech and product teams on model building strategies and model experiment, implementation and continuous improvement· Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.· Use statistics, NLP and deep learning techniques to create scalable solutions for business problems· Lead large projects independently and mentor junior ML scientists· Create business and analytics reports and present to the senior management teams· Research and implement novel machine learning and statistical approaches
US, WA, Seattle
Amazon Brand Protection organization focuses on building trust with all brands by accurately representing and completely protecting their brand on Amazon. Each brand and each product comes with a rich set of structured and unstructured data including images. We are looking for talented machine learning scientists to build authentic mapping between brands and products and to build innovative and scalable models to help protect brands. If you are passionate at solving real world problems using data and machine learning skills, if you are strong in diving deep for broad strategies, if you are capable of handling and making sense of large data sets, if you have a strong innovative mind, if you like challenges and like to deliver results in a fast pace environment, you are invited to join our team.Major responsibilities:· Understand business challenges by analyzing data and customer feedback· Collaborate with tech and product teams on model building strategies and model experiment, implementation and continuous improvement· Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.· Use statistics, NLP and deep learning techniques to create scalable solutions for business problems· Create business and analytics reports and present to the senior management teams· Research and implement novel machine learning and statistical approaches
JP, 13, Meguro
Our mission is to help every vendor drive the most significant impact selling on Amazon. Our team invent, test and launch some of the most innovative services, technology, processes for our global vendors.Amazon is looking for a talented and passionate Head of Data Science leader to build: world class team, demonstrate thought-leadership and guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs, and oversee the build of statistical and machine learning models to understand and growth for our vendors. You will lead research and drive greenfield invention leading a team of data scientists, analyst and working side by side with our software engineers, applied scientists, product managers, and UX designers. You will be comfortable with ambiguity and enjoy working in a fast-paced and dynamic environment.The is Head of Data Science is accountable for:(1) Creating a road map of the most challenging business questions from our leading vendors and use data to articulate possible root cause analysis and solutions.(2) Co-create with other scientists across Amazon globally, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve vendor analytics, prove incrementality and drive growth.(3) Partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our vendors.(4) Understanding drivers, impacts, and key influences on vendor growth dynamics.(5) Drive actions at scale to provide high impact services for vendors using scientifically-based methods and decision making and driving a low cost to serve.(6) Helping to build production systems that take inputs from multiple models and make decisions in real time.(7) Automating feedback loops for algorithms in production.(8) Utilizing Amazon systems and tools to effectively work with terabytes of data.Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.
US, MA, North Reading
The Research and Advanced Development team at Amazon Robotics is seeking passionate, hands-on scientists to work on cutting edge algorithms to power automation in Amazon’s order fulfillment and transportation network. You will have the chance to solve complex research problems and see your solutions come to life in Amazon’s warehouses!Our multi-disciplinary team includes scientists with backgrounds in AI planning and scheduling, machine learning, operations research, heuristic search, and robotic grasping. We work on problems such as:- Dynamic allocation and scheduling of tasks to thousands of robots- Learning how to recognize and grasp all the products that Amazon sells- Controlling the movement of many robots in tight spaces- Co-design of robotic logistics processes and the algorithms to optimize themThe ideal candidate for this position will be familiar with algorithms in one or more of these areas at both the theoretical and implementation levels.
US, CA, San Diego
Have you ever wanted to work on machine learning challenges that will make a lasting impact on society? How about solving key problems that impact the experience of millions of Amazon customers?Amazon is looking for brilliant Machine Learning Scientists who have the passion to tackle tough problems and help shape a new product from the very early stages in the online grocery shopping space. Together, with a multi-disciplinary team of scientists, engineers, economists, product managers, and subject domain experts, you will help define our customer experience with machine learning at its core. You will define the research and experiment strategy with an iterative approach to create machine learning models and progressively improve the results over time. We are looking for candidates who thrive in fast paced environments and want to invent the future.
LU, Luxembourg
The Workforce Staffing Research team is responsible for our hourly workforce: Who do we hire? How should we hire them? How do we make sure the right candidate gets the right role at the right time, and how do we do this efficiently? As Amazon moves toward free one day shipping for prime customers, and as we continue to scale globally, answering these questions will have material impact on the business, and on the experience our candidates have.Here’s where you come in:What is the role? As a Data Scientist in Workforce Staffing, your work is focused on research programs to deeply understand the people that make up our hourly workforce. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in statistics (regressions, multilevel models, structural equation models, etc.), and data collection in a variety of settings (e.g., field studies, surveys, existing large data sets) to define and answer nebulous problems. You leverage your quantitative background to develop and test theoretical frameworks and design experiments. You design, deployment, and conduct analysis of our global candidate research activities, using experimental, quasi-experimental, and RCT methods. You relentlessly obsess over understanding our candidates and what attracts them to Amazon. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.