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  • Kevin Small
    Credit: Arun Krishnan
    Amazon’s internal conferences build a sense of community: Kevin Small
    January 20, 2020
    Kevin Small has been involved in organizing many of Amazon’s internal conferences in his more than five years at Amazon. In this conversation, Kevin explains how Amazon’s internal conferences facilitate important breakthroughs, forge collaborations between groups, and help advance one’s career.
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Sr. Applied Scientist
US, WA, Seattle
Amazon Alexa Speech is looking for an inventive Senior Speech Recognition, Deep Learning or NLP Scientist, with a strong machine learning background, to help us create industry-leading Speech and Language technology for Alexa! Candidates can work in Seattle OR Sunnyvale.Our mission is to push the envelope in Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU), in order to provide the best-possible experience for our customers. Amazon has multiple positions available for Speech Researchers in Seattle and Sunnyvale!
Principal Applied Scientist
US, CA, San Francisco
We are looking for a passionate and talented Principal Applied Scientist who will collaborate with other scientists and engineers to leverage machine learning methods and algorithms for the modeling and analysis of data.You'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice. Your work will directly impact the trust customers place in Amazon.You are the ideal candidate if you are passionate about delivering experiences that delight customers and creating solutions that are robust. You thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience to creating reliable, scalable, and high performance products. Your strong communication skills enable you to work effectively with both business and technical partners. You have hands-on experience making the right decisions about technology, models and methodology choices. You strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.Responsibilities include:· Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.· Create experiments and prototype implementations of new learning algorithms and prediction techniques· Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions· Use machine learning best practices to ensure a high standard of quality for all of the team deliverables
Applied Scientist - AWS ML Platforms
US, CA, East Palo Alto
Interested in machine learning and AI? Can you envision a future where technology is driven primarily by smarter machines?The mission of AWS AI is to make machine learning easy, fast, and universal across all of our customers. Our world class platform provides the services that runs 85% of all on-cloud machine learning through performance optimizations, machine learning tools, and SDKs to democratize machine learning. Our customers include scientists, data analysts, and ML engineers all building and deploying models through either SageMaker or self-managed instances on EC2/EKS.If you are passionate about advances in interpretability of machine learning models and have a proven track record of bringing innovative research to customers, we would like to talk with you.As an applied scientist in AWS AI, you will be driving many scientific breakthroughs to help our customers understand and trust ML-based outcomes. The ideal candidate will possess a strong research background in machine learning with a focus on explainability, fairness, trust, and privacy preserving techniques within ML models. You will be working closely with software engineers so experience with cloud systems is a must. Our customers are deeply technical and the solutions we build for them are strongly coupled to technical feasibility. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. Ownership, high judgment, negotiation skills, ability to influence, analytical talent and leadership are essential to success in this role.Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Applied Scientist - Supply Chain Optimization Technology
US, TX, Austin
Prediction Services is a blended team of researchers and engineers within Supply Chain Optimization Technology (SCOT). Have you ever wondered how Amazon shipped your order so fast? Wondered where it came from or how much it cost us? To help describe some of our challenges, we created a short video about supply chain optimization at Amazon - http://bit.ly/amazon-scotIn Prediction Services we use cutting-edge machine learning and scalable distributed software to predict flows of products between our warehouses world-wide and distribute tens of millions of products every week in the most cost-effective way. Our forecasts are used to pro-actively shift capacity between nodes in Amazon's logistics network and ensure that our customers get their shipments on time with the lowest possible transportation costs.We are looking for an Applied Scientist who relishes the opportunity to develop novel machine learning approaches and apply them at Amazon's scale. You will collaborate with other scientists, product managers, and business teams to understand the current challenges in our space and tackle supply chain optimization problems that no one else has solved yet. We expect you to deliver end-to-end solutions rather than algorithms and you will work closely with the scientists and engineers on the team to productionize, scale, and deploy your models world-wide.As part of your daily work you will:* Use machine learning and analytical techniques to solve challenging business problems.* Analyze and extract relevant information from large amounts of data to help automate and optimize key processes.* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.* Influence senior leadership on the value propositions and generate new product ideas.* Research and implement novel machine learning and statistical approaches.* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at scale.* Contribute to Amazon's Intellectual Property through patents and/or external publications.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Data Scientist
US, WA, Seattle
Brand Advertising is a new space for Amazon and one that is ripe for disruption. The Brand Advertising team provides tools that lets businesses of all sizes on Amazon to find new customers that may not be aware of their products or services. While our other Ads teams’ products focus on leverage existing market demand for products on Amazon, our team is filling a major gap for Advertisers who are either tapped out of customers who are aware of their product, or have a product that doesn’t really have adequate traffic on Amazon. We are building a turn-key solution this year that will enable Advertisers to figure out what product to build, whether their product concept will resonate with customers and then launch the right product — all on Amazon. It also requires building many new systems (front-end, back-end and analytics) from scratch that will scale to millions of Advertisers and enable discovery of new products to millions of Amazon’s retail customers.As a member of the Brand Measurement team, you'll will be the voice of analytics, support cross-function business decisions by measuring long-term success of a Brand's ad campaign. As well coach and develop data scientists and engineers across Brand Advertising organization.This is a unique opportunity to work with some of the best Engineers at Amazon (and probably in the world) and one of the best teams at Amazon (rated very highly in a company-wide yearly assessment), build a new program from scratch that is going to become a huge area of growth for Amazon's Advertising business and pioneer the usage of new technology at Amazon scale.Join today and you will transform how customers discover and shop at Amazon!
Product Analyst - eero
US, CA, San Francisco
As a Product Analyst on eero’s Software Services team, you will drive our business, product, and outsized customer impact through data-informed decision-making. Your mandate: be the voice of the customer — both end customer and ISP partners — and work with our product team to build products that drive engagement, a better customer experience, and grow our subscription attachment product.You will study how our ISP partners and end-customers use wireless technologies in their homes and work with our product team to craft features that elevate the experience of interacting with them. Some days you will set strategic goals for the company. On others, you will be digging into data to drive product features for our customers. You love both quantitative and qualitative and are open to meeting with our ISP partners and customers to collect data. You love digging into details and ensuring your data set is clean. The role is an opportunity to extend eero’s data-informed culture.What you’ll do:· Empathize with the customer. What do our customers feel? Identify customer pain points through data and research and inform the product we deliver.· Research and test. Send our customers surveys and review feature usage data to get to know our customers and how they use our product. Coordinate with the product team to run tests that will improve our understanding of our customer base.· Build a data-informed culture. Influence growth and new initiatives by presenting product and customer insights to product management, cross-functional, and executive teams.· Identify “input” (KPI) metrics. Figure out which engagement metrics drive attachment to our subscription product and why our ISP partners constantly use our remote network management product.· Measure. You are in charge of defining success metrics with Product and Data Engineering. Your goal is to work with product to drive initiatives that will allow us to hit our business goals.· Optimize. Use data and customer research to influence and support our growth and engagement strategies. Iterate after we launch each new feature into the wild.· Report on “output” metrics. Put together metrics for Amazon’s Weekly and Monthly Reviews. What is our attachment rate? How many subscribers do we have? What changed in the past month? Why did it change?· Collaborate. Partner with Product Managers to set success metrics, and hit our business targets, collaborate with Data Engineering to optimize data accuracy and structure and set process for how Product Analytics should function within eero.
Senior Machine Learning Applied Scientist
US, NY, New York
About Amazon Advertising: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.About our team:Our team's mandate is to accelerate advertising in the Books category as it requires a differentiated customer and advertiser experience. We own end-to-end the advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. We are looking for entrepreneurial, innovative individuals who thrive on solving tough problems. We are investing in a deep science and technical team in the heart of NYC to pursue this exciting opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Senior Applied Scientist with a background in Machine Learning to join our team. In this role, you will optimize serving ads on billions of product pages. The solutions you create would drive step increases in coverage of search and brand ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. You will be expected to demonstrate strong ownership and should be curious to learn and leverage the rich textual, image, and other contextual signals.This role will challenge you to utilize cutting-edge machine learning techniques in the domain of predictive modeling, natural language processing (NLP), deep learning, reinforcement learning, query understanding, and vector search (kNN) to deliver significant impact for the business. Ideal candidates will be able to work cross functionally across multiple stakeholders, synthesize the science needs of our business partners, develop models to solve business needs, and implement solutions in production. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior scientists and guiding them to deliver high impacting products and services for Amazon customers and sellers.In this role, you will:· Solve new and challenging problems using statistical, Machine Learning, or optimization approaches to create measurable customer facing impact.· Translate prototype models to production quality, scaling to millions of customers and across different languages.· Design experiments leveraging your models to measure effectiveness.· Work closely with product, business and engineering teams to execute on your project plans.· Communicate verbally and in writing to senior leaders with various levels of technical knowledge, educating them about your approach, as well as sharing insights and recommendations.· Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
Senior Research Scientist, AWS Lambda
US, WA, Seattle
AWS Lambda (https://aws.amazon.com/lambda) is changing the way that companies big and small think about computing in the cloud. Lambda functions offer customers a "serverless" way to create applications, an approach that lets customers turn business logic and application code into scalable, fault-tolerant production systems without requiring every developer to become an expert in distributed systems, deployment technologies, and infrastructure management.This is a great opportunity to work on one of the most challenging problems in the cloud, with incredibly talented teammates. If you are passionate about large scale distributed systems and massive data analytics, then Lambda is the perfect place for you.We are seeking a Senior Research scientist to join our existing team. Are you passionate about building data driven solutions to solve a variety of problems in the cloud? Are you excited about using large-scale machine learning solutions to understand and improve a large cloud computing business? Do you have a solid background in statistics, programming and communication? Do you enjoy a fast-paced environment?If this is you, come help us solve problems like:- Use machine learning techniques to predict customers execution needs and pre-schedule execution making performance seem like magic to customers- Deliver solutions to help model the execution vast numbers of functions, if you believe that quadrillion is a cool number and dream scale, come talk to us.- Model customer behavior and adoption to help us better tailor our features to the signals we are getting from our customers.Responsibilities· Research and report on Big Data analytics topics across Serverless such as predictive workloads, survival analysis, and cost optimizations.· Develop statistical models for predicting future system behaviors· Investigate data insights to aid lambda customers in making key technical and business decisions.· Develop machine learning models for automating data insights discovered through research.· Embed with an engineering team to dive deep into the technical challenges and logistical models of that area of the Lambda system.
Research Scientist, AWS Lambda
US, WA, Seattle
AWS Lambda (https://aws.amazon.com/lambda) is changing the way that companies big and small think about computing in the cloud. Lambda functions offer customers a "serverless" way to create applications, an approach that lets customers turn business logic and application code into scalable, fault-tolerant production systems without requiring every developer to become an expert in distributed systems, deployment technologies, and infrastructure management.This is a great opportunity to work on one of the most challenging problems in the cloud, with incredibly talented teammates. If you are passionate about large scale distributed systems and massive data analytics, then Lambda is the perfect place for you.We are seeking a Senior Research scientist to join our existing team. Are you passionate about building data driven solutions to solve a variety of problems in the cloud? Are you excited about using large-scale machine learning solutions to understand and improve a large cloud computing business? Do you have a solid background in statistics, programming and communication? Do you enjoy a fast-paced environment?If this is you, come help us solve problems like:- Use machine learning techniques to predict customers execution needs and pre-schedule execution making performance seem like magic to customers- Deliver solutions to help model the execution vast numbers of functions, if you believe that quadrillion is a cool number and dream scale, come talk to us.- Model customer behavior and adoption to help us better tailor our features to the signals we are getting from our customers.Responsibilities· Research and report on Big Data analytics topics across Serverless such as predictive workloads, survival analysis, and cost optimizations.· Develop statistical models for predicting future system behaviors· Investigate data insights to aid lambda customers in making key technical and business decisions.· Develop machine learning models for automating data insights discovered through research.· Embed with an engineering team to dive deep into the technical challenges and logistical models of that area of the Lambda system.
Senior Data Scientist
US, WA, Seattle
About the Analytics Team :The Analytics team is a small, central group in the AWS Support & Managed Services organisation. The team comprises members from a range of skill-sets such as Strategy & Planning, Data Science and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term.About the Role:If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum.Data Science Analytics topics include, but not limited to:1. Product / Value Proposition design2. Customer Experience improvement3. Business Planning & Forecasting4. Predictive Analytics (a number of customer-centric use-cases)5. NLP / Text mining to identify themes in customer feedback
Applied Scientist
US, NY, New York
The Alexa Science and Machine Learning team’s goal is to make voice interfaces ubiquitous and as natural as speaking to a human. Deep learning at this massive scale requires new research and development. The team is responsible for cutting-edge research and development in virtually all fields of Human Language Technology: Automatic Speech Recognition (ASR), Artificial Intelligence (AI), Natural Language Understanding (NLU), Question Answering, Dialog Management, and Text-to-Speech (TTS).As part of our speech and language team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in spoken language understanding. 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. It is not imperative to have experience in ASR. We have scientists building production models released to Echo customers, who had no prior speech experience, but very strong in ML, statistics, coding (and “can do” spirit!).We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
Sr. Applied Scientist
US, WA, Seattle
About Prime Video: Prime Video is changing the way people watch movies and TV shows, offering more than 150,000 new release movies, next-day television shows and classic favorites available to rent or purchase on-demand, and more than 38,000 titles available to customers with an Amazon Prime membership. We believe so deeply in the mission of our video offering that we've launched our own Amazon Studios to create Original and Exclusive content. With an Amazon Prime membership, customers can have unlimited access to thousands of titles for no additional charge, including popular and award-winning Prime Originals like Jack Ryan, Fleabag and The Marvelous Mrs. Maisel.About the team: The vision for our team is to inspire our customers to engage with all that Prime Video brand has to offer. To achieve our vision, we create product and technology solutions that drive incremental activation and engagement of PV customers worldwide. We obsess over finding effective ways to reach active and inactive customers with relevant and timely content that drives traffic to the PV experience. Using smart rules and machine learning we generate relevant, timely, and personalized engagement opportunities via a broad portfolio of both in-app and out-of-app experiences, on a fully automated basis.About the role: We seek an experienced Senior Applied Scientist to join us in defining and designing a multi-channel campaign management system to increase customer engagement, activation and global adaption of prime video. This effort is guaranteed to push the boundaries of intelligent marketing automation and you will be in the center of defining the science models of these automated engagement experiences. You should expect to exercise both your coding skills and creative research thinking as you map real world processes to ML enabled systems. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. If you’re looking for an opportunity to make a big impact in a global business with a startup culture, we’re looking for you.
Applied Science Manager, Machine Learning
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.
Data Scientist - Forecasting
US, WA, Seattle
Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Forecasting team in the Supply Chain Optimization Technologies (SCOT) organization is dedicated to answering these questions using statistical methods. We develop cutting edge data pipelines, build accurate predictive models, and deploy automated software solutions to provide forecasting insights to business leaders at the most senior levels throughout the company. We are looking for a talented, driven, and analytical researcher to help us answer these (and many more) questions.We are building a new team to develop predictive models and provide business insights on seller behavior on the Amazon Consumer platform. We will build models to produce forecasts of unit sales and revenue by seller segments and drive adoption of these forecasts by various teams within Amazon for financial and operations planning. We will provide insights on the impact of seller selection, product selection and fees on the long-term growth of the business, and provide recommendations to drive future growth of the seller platform.This Data Scientist role will design quantitative systems and forecasting models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. As a Data Scientist on this team, you will collaborate directly with economists and statisticians 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.Key Responsibilities:· Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).· 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 forecasting systems.· Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance.· Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.· Presenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Forecasting systems and improving their performance.Amazon is an Equal Opportunity Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Data Scientist - Demand Forecasting
US, NY, New York
Business/Team IntroductionThe Amazon Demand Forecasting team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop sophisticated algorithms that involve learning from large amounts of data, such as prices, promotions, similar products, and a product’s attributes, in order to forecast the demand of over 190 million products world-wide. These forecasts are used to automatically order more than $200 million worth of inventory weekly, establish labor plans for tens of thousands of employees, and predict the company’s financial performance. The work is complex and important to Amazon. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.Data Scientist ResponsibilitiesIn a typical day, you will work closely with talented machine learning scientists, statisticians, software engineers, and business groups. Your work will include cutting edge technologies that enable implementation of sophisticated models on big data. As a successful data scientist in our Demand Forecasting team, 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 in Demand Forecasting, through collaboration with engineering, research, and business teams. 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:· Translating Demand Forecasting business questions and concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not available· Providing feedback to our science and engineering teams on the applicability of technical solutions from the business perspective· Presenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Demand Forecasting systems and improving their performance· Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations· Improving upon existing Demand Forecasting statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting models· Supporting decision making by providing requirements to develop analytic capabilities, platforms, pipelines and metrics then using them to analyze trends and find root causes of forecast inaccuracy· Formalizing assumptions about how demand forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them· Utilizing code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and machine learning models and algorithmsAmazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Senior Data Scientist - Israel Hiring Event 2020
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
Manager, Alexa Research Science
IN, KA, Bangalore
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Alexa and Amazon products and services such as the Amazon Echo and Dot. Come join us!We're looking for a Manager, Research Science who combines exceptional technical, research and analytical capabilities to build and lead a team that will be integral to the continued improvement of Amazon Alexa. As a Research Manager, you will be responsible for leading a team of researchers and data experts in the design, development, testing, and deployment of speech and language data processes and model improvements, supporting a range of products.This involves:· Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential.· Providing technical and scientific guidance to your team members.· Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds.· Supporting the career development of your team members.A successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, demonstrated experience in people management, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment.
Data Scientist - Sponsored Products Marketplace
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.
Data Scientist, Amazon Devices
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
Applied Scientist
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.

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    Artificial Intelligence—The revolution hasn’t happened yet
    November 22, 2019
    Michael I. Jordan, Amazon scholar and professor at the University of California, Berkeley, writes about the classical goals in human-imitative AI and reflects on how, in the current hubbub over the AI revolution, it is easy to forget that these goals haven’t yet been achieved.
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    Academic engagements
    Amazon offers a number of ways for you to engage with the company’s scientific community.

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