Customer-obsessed science

Behind Amazon's working backwards approach
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Fulfillment Center OAK4 in Tracy, CA

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ES, B, Barcelona
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040). Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others. We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and/or anomaly detection. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you’d like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history. We are open to hiring candidates to work out of one of the following locations: Barcelona, B, ESP
GB, London
Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040). Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current research and areas of work within our team include machine learning forecast, anomaly detection models, model interpretability, graph neural nets, among others. We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of probabilistic machine learning, time series forecasting, and/or anomaly detection. At Amazon, we strive to continue being the most customer-centric company on earth. To stay there and continue improving, we need exceptionally talented, bright, and driven people. If you’d like to help us build the place to find and buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history. We are open to hiring candidates to work out of one of the following locations: London, GBR
US, WA, Bellevue
Fulfillment by Amazon (FBA) is a service that enables third-party sellers to outsource fulfillment to Amazon, and use Amazon’s world-class science and logistics infrastructure to fulfill customers world-wide with fast delivery promise. FBA team is looking for an experienced and creative Principal Research Scientist with strong modeling and analytical skills to join our cross-domain group of data scientists, applied scientists, research scientists, and economists. This is a high-impact role with opportunities to develop systems and analyze initiatives that contribute billions of dollars to the business. As a lead research scientist in the team, you will be responsible for designing and implementing cutting edge optimization models, building automated inventory and logistic management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include 1) designing inventory, inbound, capacity, revenue, and workforce management systems for new FBA business initiatives, 2) developing, improving, and maintaining optimization models to help FBA sellers grow their business, 3) ensuring worldwide Amazon customers have access to the largest selection of products through FBA sellers, as well as 4) driving out costs across end-to-end FBA supply chain. Unlike many companies who buy existing off-the-shelf planning systems, we are responsible for studying, designing, and building systems to suit Amazon’s particular needs. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists, statisticians, economists and software developers in the business. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages operations research, statistics, machine learning, econometrics, and data analytics. Solid research experience in Operations Research, or a related field, such as statistics or machine learning, is required. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where the team delivers value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their careers. A day in the life In this role, you will be a technical leader in Operations Research with significant scope, impact, and high visibility. Your solutions will lead to billions of dollars of impact on either the topline or the bottom line of Amazon’s business. You will work closely with Product Managers, Software Engineers, and other Scientists, to deeply understand FBA Seller business problems and priorities. You will design and launch new systems. You will solve real world pricing, inventory, transportation, and location problems with millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers around the world. Throughout the process, you will be supported by a team of research and data scientists, as well as product managers, and software engineers. You will also collaborate with the broader decision and research science community in Amazon to expand the horizon of your work and mentor engineers and scientists. You will be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. About the team Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, Sellers enjoyed strong growth using FBA, shipping more than half of all products offered on Amazon. To our consumers, FBA provides a broad and diverse inventory of products from Books, Electronics and Apparel to Consumables and beyond with many of them available with 1-Day shipping. The FBA team is the core group in charge of fulfillment, inventory, pricing, and a wide array of operational recommendation services to our Sellers as well as building the internal resource management systems. FBA sellers leverage Amazon’s expertise in optimization, data analytics, econometrics, machine learning, and market design to deliver the best pricing, inventory, fulfilment management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. “Third-party sellers are kicking our first party butt. Badly. And it’s a high bar too because our first-party business has grown dramatically over that period, from $1.6 billion in 1999 to $117 billion this past year. The compound annual growth rate for our first-party business in that time period is 25%. But in that same time, third-party sales have grown from $0.1 billion to $160 billion – a compound annual growth rate of 52%. To provide an external benchmark, eBay’s gross merchandise sales in that period have grown at a compound rate of 20%, from $2.8 billion to $95 billion. Why did independent sellers do so much better selling on Amazon than they did on eBay? And why were independent sellers able to grow so much faster than Amazon’s own highly organized first-party sales organization? There isn’t one answer, but we do know one extremely important part of the answer: We helped independent sellers compete against our first-party business by investing in and offering them the very best selling tools we could imagine and build. There are many such tools, including tools that help sellers manage inventory, process payments, track shipments, create reports, and sell across borders – and we’re inventing more every year. But of great importance are Fulfillment by Amazon and the Prime membership program. In combination, these two programs meaningfully improved the customer experience of buying from independent sellers.” —Jeff Bezos, 2018 Letter to Shareholders We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
US, WA, Seattle
The Data Insights, Science and Optimization (DISCO) team is looking for a talented Research Science Manager to lead a science and business intelligence team at Amazon Music. You will lead a team of data scientists, analysts, and engineers working closely with our Music Industry teams to drive the growth of Amazon Music. We use survey research, machine learning, experimentation and causal modeling to drive insights, uncover new opportunities, support evidence-based decision-making, and link product improvements to their impact on customer engagement. Your team will build the core intelligence, insights, machine learning models for the Music Industry & Content organizations. You will set the team vision, strategy and roadmap while partnering with our marketing teams to achieve goals. We’re looking for someone with strong stakeholder management skills who has a track record of leading teams to deliver science-based solutions. You are equally comfortable discussing technical details with engineers and marketers and reviewing project outcomes with senior leadership. You can synthesize results and concisely communicate insights and recommendations to audiences of varying levels of technical sophistication. About the team Amazon Music Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more. Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives. Come innovate with the Amazon Music team! We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
CN, Beijing
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV). As part of our AI team in Amazon, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in all areas of human language technology: ASR, MT, NLU, text-to-speech (TTS), and Dialog Management, in addition to Computer Vision. We are also looking for talents with experiences/expertise in building large-scale, high-performing systems. We are open to hiring candidates to work out of one of the following locations: Beijing, CHN
US, CA, Palo Alto
Amazon is the 4th most popular site in the US. Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include: - Can combining supervised multi-task training with unsupervised training help us to improve model accuracy? - Can we transfer our knowledge of the customer to every language and every locale ? - Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs? This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization. We are open to hiring candidates to work out of one of the following locations: Palo Alto, CA, USA
US, NY, New York
Amazon is investing heavily in building a world class advertising business. 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. The Sponsored Products Marketplace Intelligence team is responsible for ranking, allocation and pricing of ads on Amazon search pages. A Senior Manager for pricing will be responsible for defining our business and technical strategy for one of our most impactful marketplace controls, creating lasting value for Amazon and advertisers. Job Responsibilities: Lead business, science and engineering strategy and roadmap for Sponsored Products pricing controls. Oversee development, testing, launch and improvement of models designed to price ads. Develop state of the art experimental approaches and ML models. Impact and Career Growth: Opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation. Drive real-time algorithms to price billions of ads per day in advertising auctions. Have the ability to experiment autonomously with meaningful projects. This is a high-visibility role managing a cross-functional team of scientists, engineers and product managers. You'll be responsible for developing roadmaps, staffing plans and growing your team. Why you love this opportunity: Sponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Pricing is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers.
DE, Tuebingen
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon. We are a smart team of doers that work passionately to apply cutting edge advances in technology and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We are a newly established innovative Development Center in Tübingen, Germany which focuses on computer vision, machine learning, robotics and causality in diverse application fields at Amazon. If you get excited by the prospect of dealing with ambiguity, solving hard, large scale problems, working in a startup like environment and if you want to come to one of the most exciting places of the world for researching Intelligent Systems, then we have the perfect role for you.
ES, B, Barcelona
Are you excited to help customers discover the hottest and best reviewed products? Through the enablement of intelligent campaigns that leverage machine-learning models, you will help to deliver the best possible shopping experience for Amazon’s customers all over the globe. We are looking for experienced scientist who will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables. Your domain spans the design, development, testing, and deployment of data driven and highly scalable solutions using data processing and machine learning in product recommendation. You will partner with scientists, product managers, and engineers to help invent and implement scalable Data processing and ML models while inventing tools on our customers behalf. Key job responsibilities As a Principal Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. A day in the life This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, and work closely with scientists and engineers. We are particularly interested in candidates with experience building large scale machine learning solutions and working with distributed systems to 1) help us build robust ensemble of ML systems that drive classification and recommendation of products with a high precision and recall utilizing various signals and scale to new marketplaces and languages and 2) design optimal supervised and unsupervised machine learning models and solutions for moderately complex projects in business, science and engineering. About the team The Discovery Tech team helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside cutting edge tools for marketers. You will be responsible for creating and building critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising.
CA, ON, 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. The Detail page Ad experience team in Sponsored Products organization is responsible for measuring and improving shoppers experience in detail page context. We build advanced deep-learning models, large-scale machine-learning (ML) pipelines, and real-time serving infra to determine the relevance of ads with immediate detail page context, widgets the ads are served and shoppers’ intent on all devices in all marketplaces. Through precise estimation of ad relevance and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for energetic, entrepreneurial, and self-driven science leaders to join the team. Key job responsibilities As a Principal Applied Scientist in the team, you will: - Define evaluation methods and metrics that measures shoppers experience (e.g., ad relevance), and invent scientifically sound and scalable solutions in the detail page context that improves SP detail page shopper experience. - Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business via principled ML solutions. - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML. - Design and lead organization wide ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver. - Be responsible for communicating our ML innovations to the broader internal & external scientific community. We are open to hiring candidates to work out of one of the following locations: Toronto, ON, CAN