Amazon Science Homepage

US, WA, Seattle

Amazon’s Sustainability organization points Amazon’s innovative culture at environmental and social impacts with enormous scale. We consider the full lifecycle of our impact, from supply chain to customer experience, operational efficiency to waste diversion. We take action to improve the impact Amazon has on the environment, looking for wins that are good for our customers and our business as well. Sustainability Science and Innovation is a team of environmental and social research scientists and product managers answering core sustainability questions for the larger organization and working across the company to develop solutions to long term environmental and social hotspots.The Role:A Research Scientist at Amazon applies data science, subject matter expertise, and business acumen to deliver results at scale. As a Research Scientist, you will be responsible for conducting assessments of environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life. The ideal candidate will have industry experience conducting life cycle assessments (LCAs) of products and services, and detailed knowledge of manufacturing, design, development, and/or sourcing. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The candidate should have familiarity with LCA methods and applications. The successful candidate will work under the direction of senior business leaders, but will act as a Subject Matter Expert, leading research and building data analytics and models at scale. Amazon’s culture encourages innovation, and the candidate should be comfortable working in cold start scenarios in order to push the envelope on the hard to solve environmental and social issues.Key Responsibilities:· Manage sustainability-related research projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting;· Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time critical questions from multiple business teams;· Professionally communicate to senior business leaders.· Work closely with software engineering teams to drive real-time model implementations and new feature creations.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.

Senior Data Scientist

US, WA, Seattle

Interested in making Amazon's groundbreaking Alexa cloud-based voice service deeply personalized to each customer? Come join us!We are looking for a passionate, talented, and inventive SeniorData Scientist to help build industry-leading solutions. Your work will directly impact Alexa and smart home device users in the form of rigorously measuring and highlighting improvements in the quality of Alexa products and services by testing them on Alexa's vast customer base.You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting-edge product used every day by people you know.This is a role in the Alexa AI – Secure AI Foundations (SAIF) team to work alongside software engineering and science teams to innovate and solve problems in the Alexa experimentation platform. Our team develops and provides the Alexa A/B experimentation platform supporting data-driven decision making on what innovations work best for our business partners.Key Responsibilities· Analyze complex datasets to make decisions· Undertake and lead scientific research projects (taking novel research ideas and applying them to improve causal inference analyses involving Alexa customers)· Ensure that the quality and timeliness of analytic deliverables meet Alexa’s expectations· Develop and present papers with insights and recommendations for senior staff audiences· Provide informal direction and guidance to project team members and users of our platform on all aspects of analytics from business context and prioritization to technical coaching

Data Scientist - Sales Operations

US, WA, Seattle

Amazon Advertising is one of the fastest growing businesses. This is a unique opportunity within our Sales Operations Analytics and Insights team. This leader will be a key member of the core Analytics team, based in Seattle, WA. The successful candidate will be self-starter, comfortable with ambiguity, with attention to details. The drive and capability to shape sales organization and/or business strategy is a must.The data scientist will work closely with sales leader, finance leaders, business intelligence engineers, and software engineers to develop predictive models forecasting revenue and performance. This leader will also be responsible for determining controlled and uncontrolled drivers impacting revenue; and the associated level of correlation leveraging statistical analysis.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.Key Responsibilities:1. Design and develop revenue and performance forecasting models2. Leverage ML to automate forecasting model3. Measure the accuracy of forecasting model and continuously improve4. Develop and implement analytics to better predict performance by tying sales inputs into more accurate outputs, and enabling strategic decisions around resource allocation and organizational design. Understand controlled versus non-controlled inputs, and their impact on outputs using statistical analysis. Measure and continuously improve the accuracy of predictive model.5. Effectively document and communicate methodologies and results.

Sr. Applied Science Manager

IL, Haifa

The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.If you have expertise leading Computer Vision research teams and have a Ph.D. and 5+ years of industry or postdoctorate experience, or an MS and 7+ years of industry experience and have:· the ability to recognize and champion new ideas and novel solutions;· the insight to correctly identify paths worth exploring;· the the passion to create a team culture that is ready to tackle the seemly impossible;· the drive to push a team to the achieve the highest standards;· the discipline to fast-fail when data refutes theory;· and the fortitude to continue exploring until your solution is foundcome join us invent the future and change the world.

Manager, Research Science, Amazon Transportation Services

US, TN, Nashville

The Line Haul Network Engineering and Product Development (NEPD) team, within Amazon Transportation Services (ATS), is looking for an exceptional, motivated, analytically minded research science leader with a strong delivery record to build and manage a team of highly talented data and research scientists and business intelligence engineers. This team will be dedicated to building statistical models and insights that will be the engine behind our products and services to optimize package flow, speed and efficiency in an already dynamic and fast-paced business.You will have the opportunity to work across multiple problem spaces with a primary focus on models and insights that will redefine how we flow packages through the NA Middle Mile Network. You will be solving complex problems, working on difficult challenges in the data science space as the scale of our product portfolio grows. You will be responsible for generating new insights and recommendations to fuel new products and services features that will shape how the Middle Mile network evolves here at Amazon. You will simultaneously play an active role in translating business and functional requirements into concrete deliverables and working closely with the operations, product and software development teams to put solutions into production.As Manager of Research Science in the NEPD team, you will recruit and lead a high quality, creative, visionary data science team to build and innovate within the Middle Mile network. You will play a key role on the leadership team that is setting the business and technical agenda for delivery speed at Amazon. You will work closely with business teams, technology teams and operations teams around the world, make a huge, measurable impact to Amazon’s customers, the retail and operations businesses, and build and innovate solutions that are simple and easy to maintain and scale. You are comfortable conversing with, collaborating with and persuading product, business and technology teams alike, and are poised and polished when presenting to senior level executives. You are great at hiring, growing, and mentoring data scientists, and cultivating leadership capabilities.Want to learn more about what it's like working for Amazon Transportation Services? Check out this video! https://www.youtube.com/watch?v=en5YqrtBGvY&feature=youtu.be#NALH

Applied Scientist, Alexa NLU

US, WA, Seattle

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.

Senior Reliability Scientist

US, WA, Seattle

At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we’re constantly looking to take to a new level is how we fulfill and deliver their orders. We are inventing the next-generation smart delivery operation by combining cutting-edge hardware technologies (sensors, embedded devices, wearables, and robotics) and data stream analytics (video, vehicle telematics, location, and presence) to create solutions that allow us to deliver faster, and with better customer experience. Are you interested in applying your research, engineering development, and data-science skills to improving the reliability of our Amazon delivery hardware and delight our customers? If so, then this is the job for you.The Role:As a Senior Reliability Scientist, you will be leading reliability of new delivery hardware. Following are the responsibilities of this role:· Responsible to research and develop reliability test specifications based on the field usage conditions. Conduct use case studies and develop reliability requirements for the new hardware in the automotive environment.· Identify and validate reliability risks and work with design teams to mitigate them. Provide hands-on experimental design and execution.· Model the hardware architecture for data collection and perform analysis to predict reliability, availability and maintainability.· Provide valuable insights for key business and technical decisions such as defining operating boundaries and predictive or condition-based maintenance.· Perform reliability prediction of failure mechanisms on products under development and products in the field. Conduct continuous analysis of the fleet data and feedback to the engineering team on design trade-offs· Define and analyze Remaining Useful Life (RUL) predictions based on Prognostic and Health Monitoring (PHM) methods for targeted sub-systems and components.

Applied Scientist

US, WA, Seattle

Join us in a historic endeavour to make Computer Vision accessible to the world with breakthrough research!The AWS Computer Vision science team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists have developed the algorithms and models that power AWS computer vision services such as Amazon Rekognition and Amazon Textract. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world.Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, large scale image and video detection and recognition, face detection and recognition, OCR and scene text recognition, document understanding, and 3D scene and layout understanding.We are located in Seattle, Pasadena, Palo Alto, Atlanta (USA) and in Haifa and Tel Aviv (Israel).

Research Scientist

US, WA, Seattle

Workforce Staffing (WFS) supports Amazon Operations by hiring the hourly associates that staff our operational buildings. WFS is quickly becoming one of the world’s largest staffing organizations, forecasted to hire over one million hourly associates across North America and the European Union this year alone. Currently, we hire full time, part time, flex time and seasonal hires across Fulfillment Centers, Sort Centers, Amazon Logistics, Whole Foods, Amazon Air, Prime Now, Amazon Fresh, and emerging business lines. Interested in the businesses that Amazon creates and grows? Here’s your opportunity to be a part of this journey.The Workforce Intelligence team was created in 2018 to support the massive growth in scale and scope that WFS has experienced. The team has continued to grow rapidly in order to meet the expanding needs of the business, including: big data and machine learning solutions, innovative approaches to complex HR problems, and data-driven recommendations during a time of rapid change.Here’s where you come in:As a Research Scientist in Workforce Staffing, your work is focused on research to deeply understand the people that make up our hourly workforce and help others do the same. You understand that even when hiring hundreds of thousands of hourly associates across multiple types of roles and businesses, the experience of each candidate matters.You use your deep expertise in surveys and statistics (regressions, multilevel models, etc.) to define and answer nebulous problems. You use experimental, quasi-experimental, and RCT methods to understand our candidates and influence critical business decisions. You relentlessly obsess over understanding our candidates and lead our survey program that seeks to amplify the voice of our candidates. You work with colleagues across Research, Data Science, Business Intelligence and related teams to enable Amazon find and hire the right candidates for the right roles at an unprecedented scale.This will be a highly visible role across multiple key deliverables for our global organization. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to make the world a better place, let’s chat.

Mixed Methods Research Scientist

US, WA, Virtual Location - Washington

In Customer Trust and Partner Support (CTPS), thousands of Amazonians spend their days obsessing over how to continually provide a safe and trustworthy store for our customers, brands, and selling partners. In this rich, demanding environment, it is vital that we invest significant effort to hire and develop the best.How do we do this effectively? That’s where you come in. Help us build a brand new core research team focused on talent growth and retention.We are seeking a mixed-methods researcher with deep expertise in social science, public health, or similar research, including development and evaluation of theoretical frameworks, qualitative data collection and analysis methods in a variety of settings (e.g. focus groups, field studies, surveys, observational studies, “found data”, quantitative analytics), and statistics (t-test, ANOVAs, regressions, etc.). The ideal candidate will be equally comfortable with qualitative and quantitative methods, though candidates with greater exposure to and familiarity with qualitative methods will be considered if a solid understanding of the quantitative methods described above exists.You will be responsible for spearheading research that leverages both qualitative and quantitative methods to understand and improve how CTPS attracts, hires, and retains talent of the highest caliber. Our approaches are driven by our research questions, so you should be comfortable with various mixed-methods research designs, both concurrent and sequential. Additionally, you should be comfortable with making independent decisions about qualitative study conduct, including determinations of sample size/saturation, purposive sampling, and close monitoring of data quality (including primary responsibility for code book development, coding procedures, and data validation).A customer-obsessed, relentless curiosity is a must, as is commitment to the highest standards of methodological rigor that a given study allows. This role provides opportunity for significant exposure to Amazon’s culture, leadership, and global businesses, and furthermore provides significant opportunity to influence how CTPS hires and develops the best.If you’re hungry to engage and empower Amazonians with your expertise in mixed methods research, let's talk.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Data Scientist II - AMZ4412

US, CA, East Palo Alto

MULTIPLE POSITIONS AVAILABLEEntity: Amazon Web Services, Inc., an Amazon.com CompanyTitle: Data Scientist IIWorksite: East Palo Alto, CAPosition Responsibilities:Own the data science elements of various products to help with data based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Bridge the Degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Senior Research Scientist

US, CA, Palo Alto

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of 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.As an Senior Research Scientist in Machine Learning, you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· Research new machine learning approaches.

Senior Applied Scientist

US, MA, Cambridge

Amazon is looking for a passionate, talented, and inventive Senior Scientist 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 Speech and Language 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 novel 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. You will mentor junior scientists, create and drive new initiatives.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.

Sr Machine Learning Scientist

US, WA, Seattle

Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning, NLP and machine translation techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and got their questions answered? Do you want to help enabling any Amazon associates to aid any Amazon customers no matter what language they speak? At Customer Engagement Technology, we develop peculiar products that help customers solve problems. Our team leads the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have more than anyone else in the industry. We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce. We leverage big data, NLP, ML, and a focus on continuous innovation to create an amazing experience for customers as we scale to meet business growth each year.If you like to own solving end-to-end business problems with machine learning which would have a direct impact on the bottom line of Amazon’s business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.We are looking for an Applied Science manager who combines exceptional technical, research and analytical capabilities to build and lead a team that will be integral to the continued improvement of chat bot and Machine Translation models at Customer Engagement Technology department. As an Applied Science Manager, you will be responsible for the design, development, testing, and deployment of algorithms and improvements, to revolutionize the way how customers solve their issues and got their questions answered and to enable any Amazon associates to aid any Amazon customers no matter what language they speak.This involves:* Manage the design, development and evaluation of innovative, scalable models and algorithms;* Project manage cross-functional projects;* Lead team of applied scientists to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale;* Science leadership for technology and vision roadmaps;* Identify best practices/latest machine learning models across Amazon and in the industry;* Communicate effectively with senior management as well as with colleagues from business, science, and engineering backgrounds;* Support the career development of your team members.The 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. This is a high-visibility role managing a team of scientists working collaboratively with engineers and product managers. You'll be responsible for developing science roadmaps, staffing plans and developing your team.

Manager, Machine Learning

US, WA, Seattle

Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning, NLP and machine translation techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and got their questions answered? Do you want to help enabling any Amazon associates to aid any Amazon customers no matter what language they speak? At Customer Engagement Technology, we develop peculiar products that help customers solve problems. Our team leads the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have more than anyone else in the industry. We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce. We leverage big data, NLP, ML, and a focus on continuous innovation to create an amazing experience for customers as we scale to meet business growth each year.If you like to own solving end-to-end business problems with machine learning which would have a direct impact on the bottom line of Amazon’s business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.We are looking for an Applied Science manager who combines exceptional technical, research and analytical capabilities to build and lead a team that will be integral to the continued improvement of chat bot and Machine Translation models at Customer Engagement Technology department. As an Applied Science Manager, you will be responsible for the design, development, testing, and deployment of algorithms and improvements, to revolutionize the way how customers solve their issues and got their questions answered and to enable any Amazon associates to aid any Amazon customers no matter what language they speak.This involves:* Manage the design, development and evaluation of innovative, scalable models and algorithms;* Project manage cross-functional projects;* Lead team of applied scientists to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale;* Science leadership for technology and vision roadmaps;* Identify best practices/latest machine learning models across Amazon and in the industry;* Communicate effectively with senior management as well as with colleagues from business, science, and engineering backgrounds;* Support the career development of your team members.The 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. This is a high-visibility role managing a team of scientists working collaboratively with engineers and product managers. You'll be responsible for developing science roadmaps, staffing plans and developing your team.

Applied Scientist

IN

Do you want to lead a state of the art computer vision and applied machine learning powered service that will make a lasting impact on our society? We are looking for an applied scientist to lead the development for a computer vision powered service to be launched by reInvent 2020. You will be working in a fast-paced, cross-disciplinary team of engineers and scientists to build this service ground up. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking.As an Applied Scientist in the AWS-ML Computer Vision team, you’ll have a unique opportunity to help shape the technology, the product, and the business. You’ll be chartered to own and lead the science vision. In addition, as part of the AWS-ML Computer Vision Cloud organization, you will have the opportunity to influence the broader cloud strategy for Amazon. You will enjoy the prospect of solving real-world problems that have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.

Sr. Applied Scientist

IN

Do you want to lead a state of the art computer vision and applied machine learning powered service that will make a lasting impact on our society? We are looking for an applied scientist to lead the development for a computer vision powered service to be launched by reInvent 2020. You will be working in a fast-paced, cross-disciplinary team of engineers and scientists to build this service ground up. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking.As an Applied Scientist in the AWS-ML Computer Vision team, you’ll have a unique opportunity to help shape the technology, the product, and the business. You’ll be chartered to own and lead the science vision. In addition, as part of the AWS-ML Computer Vision Cloud organization, you will have the opportunity to influence the broader cloud strategy for Amazon. You will enjoy the prospect of solving real-world problems that have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.

Machine Learning Scientist - Prime Video Recommendations

US, WA, Seattle

Do you want to know about new movies and TV shows that you'll will enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watchWe're using cutting edge approaches such as graph convolutional networks (GCNs) to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know exitsed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external ML conferences (e.g. https://dl.acm.org/citation.cfm?id=3292500.3330675).At the end of the day, you will be innovating and experimenting in a complex technical and business space - dealing with Amazon scale, different types of video assets (Movies, TV Shows, Live Sports, Short Videos) and balancing various business offerings (Prime, Third party channels) - positively impacting millions of customers worldwide.If you are ready to truly make an impact on a product that is used by millions of people around the world, including your own friends and family, then we would love to talk to you.Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

Senior Applied Scientist

US, MA, Cambridge

Are you excited about an opportunity to work on Alexa, the digital voice assistant powering the Amazon Echo, Dot, Fire TV and long range of similar innovative devices? Are you passionate about using the latest technology to solve challenging problems at the intersection of Natural Language Processing, Search and distributed Cloud services? The Entity Resolution (ER) team is looking for a talented, detail-oriented and self-motivated Senior Applied Scientist to join our team. You will be working alongside top notch machine learning scientists and engineers building exciting novel capabilities for Alexa.As a Senior Applied Scientist, you will research, create and deploy models for natural language processing, information retrieval, entity resolution and linking problems. You will gain hands-on experience with Amazon’s heterogeneous structured data sources; as well as large-scale computing resources to advance the state-of-the-art and delight Alexa customers. You will mentor and develop other scientists in the team, and drive cross-team collaborations. You will also be instrumental in defining our forward-looking science and product agenda. You will drive science best practices across multiple team.

Research Scientist

US, WA, Seattle

Where will AWS’s growth come from in the next year? What about over the next five? What are the drivers and factors of such growth? 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 AWS today.The central AWS econ team is dedicated to answering these questions using quantitative and 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.The central AWS Econ team leads the way in developing innovative models, algorithms and strategies that will help us gain insights into how our business will grow and what will the drivers of such growth. These predictive models and insights will be based along products and product categories, customer segments, regions and locations, etc.This Research Scientist role will explore and develop innovative quantitative approaches and models, generate features, test hypotheses, design experiments, build predictive models, and work with very large complex data sets in order to make predictions and forecasts. These forecasts and insights will provide a foundation of the highest level of visibility and importance for financial and operational planning. The 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, working together with Economists, Data Scientists, Software Engineers, Product Managers, and Business Analysts.Key Responsibilities:· Research, develop and build predictive models and forecasting systems· Analyze and research features and engineer features that help support predictive models and forecasting systems· Provide insights by analyzing historical data· Create experiments and prototype implementations of new learning algorithms and prediction techniques.· Collaborate with engineering teams to design and implement software solutions for science problems.

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