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Amazon is a great place to practice science and have real business impact, but that’s only one part of the story. Amazon scientists continue to publish, teach, and engage with the worldwide research community.
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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, WA, Seattle
Workforce Staffing (WFS) is responsible for filling all of our First Mile, Middle Mile, and Last Mile Operations with hourly labor. In 2019, WFS hired hundred of thousands of hourly associates across NA and EU and will receive over millions of job applications for employment. This role is part of the Workforce Intelligence Team, tasked acquiring, modeling and visualizing all the data required to report out on performance metrics such as fill rates and funnel statistics, and forecasting hiring volumes to predict hiring risks and to support internal capacity planning.As part of the Workforce Intelligence team, the Ops Research Scientist will work on forecasting and optimization projects to improve funnel efficiency. The Ops Research Scientist will partner with capacity planning leaders, product/program managers, data engineers and other research scientists to build tools with clear business impact in an exciting and fast-paced start-up environment. The OR Scientist will be responsible for developing new predictive and optimization models as well as algorithms for key applications. The OR Scientist will be expected to be a thought leader as we chart new courses with our last mile planning models. Successful candidates will have a deep knowledge of computational optimization methods and mathematical modeling, background in statistical and machine learning methods, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.Key Responsibilities:· Guide the technical approach for the design and implementation of successful models and algorithms in support of teams across Amazon.· Work in expert cross-functional teams delivering on demanding projects.· Functionally decompose complex problems into simple, straight-forward solutions.· Share knowledge in state-of-the-art statistics and machine learning research or frontier applied mathematical modeling and computation applicable to our problem space.
US, WA, Seattle
The Games Finance Analytics Team is seeking a highly skilled and motivated Data Scientist to join our team in Seattle. This is your opportunity to be a core part of the team that has direct impact on affecting the long-term roadmap of Amazon Games Studios.As a Data Scientist, you will discover and solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating models, and collaborating with colleagues in business, software, and research. You will get the exciting opportunity to work on some of the world’s largest and diverse datasets. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, WA, Seattle
Amazon Prime is looking for a talented Economist to help manage our ever growing information needs and support analysis of increasingly complex business questions. At Amazon Prime, understanding customer data is paramount to our success in providing customers with relevant and enticing benefits such as fast free shipping, instant videos and music, in the US as well as an expanding number of international marketplaces. At Amazon you will be working in one of the world's largest and most exciting big-data environments. The Economist role occupies a unique space at the intersection of technology, machine-learning, econometrics, large-scale scientific computing, social science, and product management.As an Economist within Amazon Prime, you will work with our world-class business, economics, data science and engineering, and software development teams to propose and estimate novel statistical and econometric models to directly inform strategic decisions about characteristics of the Amazon Prime membership, including what membership prices, benefits, and benefit content deliver the most value for our customers around the world. You will solve these problems using structural econometrics, causal inference, machine learning, and massively parallelized scientific computing, and work closely with our software development team to automate these models at scale in distributed computing infrastructures such as Apache Spark. This position is unique in its exposure to senior members of the Prime team and other Amazon business units.The successful candidate will be familiar and comfortable with building, estimating, and defending causal statistical models using software such as R, Python, or STATA, with a willingness to learn causal inference and structural econometrics and experience creating production systems. Knowledge of SQL, machine learning, and large scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, the candidate will need to demonstrate the ability to communicate complicated concepts clearly to business leaders and other scientists, the desire to develop large business impacts for customers using statistics and econometrics, and strong execution and completion skills for major, highly-visible strategic projects under fast-paced business deadlines. The role involves both building data products, i.e. automated and productionized statistical models at scale, as well as supporting ad-hoc strategic decisions.
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.
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.
US, WA, Seattle
Do you want the excitement of experimenting with cutting edge machine learning, natural language processing, computer vision, and active learning models to solve real world problems at scale? Imagine experimenting with Deep Neural Networks as your daily job and imagine using your model outputs to affect the product discovery of the biggest e-tailer in the world. Imagine leading research inside of an Amazon team that is always looking to deploy creative solutions to real world problems in product discovery. Your research findings are directly related to Amazon’s Browse experience and impact millions of customers, ingesting images, text and all the structured and unstructured attributes in the Amazon catalog to drive true understanding of products at scale.The Amazon Browse Classification and Discovery team is seeking an Applied Scientist for developing ML systems that can help classify Amazon products into our catalog and build new experiences for improving customer discovery of products. You will be part of Browse AI team consisting of experienced Applied Scientist working on a new set of initiatives, building models and delivering them into the Amazon production ecosystem. Your efforts will build robust ensemble of ML systems that can drive classification of products with a high precision and recall, and scale to new marketplaces and languages. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages) and multitude of input sources (millions of sellers contributing product data with different quality).We are looking for an experienced Applied Scientist who can develop best in class solutions. Your primary customers are Amazon shoppers who would thank you for correctly identifying products in our catalogs across countries and languages.The ideal Applied Scientist candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision, Active learning, and Artificial Intelligence. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry.
CN, 31, Shanghai
AWS Shanghai AI Lab (ASAIL) is starting a brand new, customer-facing program. The team is chartered to work closely with the Amazon ML Solutions Lab team in Amazon Internet Services Private Limited (“AISPL”) to help customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. As a data scientist in the team, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for talented data scientists in ASAIL capable of applying classical ML algorithms as well as cutting-edge deep learning (DL) approaches to build new services that surprise and delight our customers, and continuously monitor the trend of our customers to find new opportunities and to improve our services.The primary responsibilities of this role are to:· Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries· Interact with GCR customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them· Outwardly work closely with account teams, ProServe team, and inwardly with research scientists in the lab to drive model implementations and new algorithms
CN, 31, Shanghai
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 AWS, 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.
CN, 31, Shanghai
AWS Shanghai AI Lab (ASAIL) is starting a brand new, customer-facing program. The team is chartered to work closely with the Amazon ML Solutions Lab team in Amazon Internet Services Private Limited (“AISPL”) to help customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. As a data scientist in the team, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for talented data scientists in ASAIL capable of applying classical ML algorithms as well as cutting-edge deep learning (DL) approaches to build new services that surprise and delight our customers, and continuously monitor the trend of our customers to find new opportunities and to improve our services.The primary responsibilities of this role are to:· Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries· Interact with GCR customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them· Outwardly work closely with account teams, ProServe team, and inwardly with research scientists in the lab to drive model implementations and new algorithms
US, WA, Seattle
On the AFT Inventory Entropy Management team, our goal is to prevent entropy in a system in which there are billions of transactions driven by human and robotic input across hundreds of millions of items every year. We must ensure that the virtual and physical state of the world is aligned inside hundreds of Amazon’s fulfillment centers globally. When our job is done well mistakes are corrected quickly, and products are always ready to sell and ship.We operate at a nexus of machine learning, computer vision, robotics, and healthy measure of hard-earned expertise in operations to build automated, algorithmic approaches to solving these problems at minimal cost. We create cutting edge software, building automated processes and workflows in the most complex operational problem space in the business world. So what should you expect from this role?Major responsibilities: As Senior Applied Scientist - Computer Vision, you will be working in one of the world's largest and most complex environments for computer vision applications. You should have deep expertise in harnessing massive data sets from sensors operating "in the wild". You should be an expert at designing and implementing solutions that use a range of techniques and methodologies to solve complex business problems at scale. You will design prototype models based on data gathered directly from operational sites and partner with software engineering teams to deploy those models to production. You will deep dive ML training data and feature sets to drive improvements. You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers, and business leaders to identify solutions to large problems in Amazon Operations.Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will developing complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development.The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multidisciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded.
US, WA, Seattle
The Middle-Midle Transportation Technology team builds the underlying technology that powers Amazon’s middle-mile network across the globe. The Planning and Network team owns systems that take demand for middle-mile freight movements for Amazon and produces a plan that meets demand and supply constraints while minimizing costs and manual effort required to generate vehicle movement plans. This is a unique opportunity to work on cutting edge NP Hard problems/Algorithms that saves Amazon MM of $ in freight movements.The ideal Data Scientist will be instrumental in shaping the product direction, developing and tuning algorithms with research scientists, collaborate with stakeholders to model the planning components, and develop scalable systems that help us build a planning flywheel — highest performance, at the lowest cost, and with the best delivery experience. You will work with other tech teams to model and consume inputs such as carrier supply, cost/rates, transit times, and distances in an efficient and automated fashion. The work done on the team will help our transportation systems scale beyond just road transportation to Air, Rail and Ocean to build a truly multi-modal global transportation network.Your Responsibilities:· Work closely with senior engineers, product managers and business stakeholders to design and implement highly available web services· Work with research science to develop and model new planning related algorithms· Lead a small team of engineers and lead execution of projects while ensuring that engineering best practices are followedThe ideal candidate will be passionate about solving complex optimization problems and architecting and implementing highly-available distributed systems. You obsess about the customer experience and the needs of the business. Finally, you have a strong focus on operational excellence and take pride in building maintainable systems at scale.
US, WA, Seattle
Amazon Fulfillment Technologies is looking for a passionate, talented and inventive Operations Research Scientist to join their team.As a member of the Amazon Fulfillment Technologies team you will be responsible for optimizing the fulfillment center network for Amazon.com. Duties include:• Owning the strategic planning and project management for initiatives including long-term forecasting, optimization, and process improvement• Providing business analysis using mathematical modeling tools to answer important questions• Utilizing code (Java, C++ or another object oriented language) for modeling (optimization, simulation, statistical)• Partnering closely with many groups such as operations, IT, retail, and finance teams to support various business initiatives• Effectively communicating with senior management as well as with colleagues from computer science, operations research and business backgroundsYou will also play an integral role in the planning, modeling, and analysis that will improve the efficiency and cost effectiveness of global fulfillment operations. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, and the execution to operational plans. Finally, you will help create the metrics to quantify improvements to the fulfillment costs resulting from the application of these optimization models and tools.
US, CA, San Francisco
Your machine learning skills can help make that a reality on the Amazon Music search team. We are seeking an experienced Machine Learning Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval.You'll work in a collaborative environment where you can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.Amazon MusicImagine 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. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.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!
US, MA, Boston
The Alexa Search organization is enabling Alexa to answer any question from content anywhere on the web.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.
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.We are looking for an Applied Scientist for the Sponsored Products Search Supply team. Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Search Supply team works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search pages world-wide. Using a combination of big-data analytics, machine learning and experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.The ideal candidate will have deep knowledge and passion for machine learning and optimization techniques, proven track-record to apply scientific knowledge to business applications, and ability to communicate data insights and scientific vision to a wide audience.As an Applied Scientist, you will:· 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.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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.