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Sustainability

Taking a broad, science-based approach to reach net zero carbon by 2040.

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Providing access to large datasets in the cloud helps researchers and innovators address a wide range of sustainability challenges. [sustainability.aboutamazon.com]

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LU, Luxembourg
Amazon is looking for a Data Scientist to provide statistical and analytical insights from the vast array of services powering one of the world’s largest Reliability, Maintenance Engineering (RME) platforms. As part of the Automation Engineering team, we support the business in all aspects of the traditional automation pyramid, and we provide our internal users information on all aspects of the status of control systems within Amazon’s EU Fulfillment Network. At a basic level, these systems link our low-level automation systems with the cloud and we work at the cutting edge of all aspects of the automation pyramid, from device level to the enterprise level. The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.This role requires an individual with excellent statistical and analytical abilities, professional experience applying data science methodologies and data engineering practices as well as outstanding business acumen and ability to work with various teams across Amazon. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space.Responsibilities:You are a significant and autonomous contributor. Your work is consistently of high quality. You are able to use a range of data science methodologies to conduct analysis for cases when the solution approach is unclear that relate to a portion of a business or business process. You apply a breadth of experience from practical application of data science techniques and tools to solve difficult business problems. Your work is focused on team-level goals, medium size projects, and small subsets of larger goals. You are able to ramp up quickly on new areas where colleagues identify established solutions. You are expected to consistently demonstrate a combination of the following:· You independently own and solve difficult business problems. These may be well-defined problems where the solution has not yet been outlined or approach to solve is unclear.· You deliver artifacts on medium size projects that affect important business decisions. You define the methodology and own the analysis.· You are able to gather and use complex data set across domains. You proactively gather data when it is not readily available.· You skilfully employ a range of data science methods, tools, and best practices. You are able to justify your approach.· You write clear and factually correct documents explaining technical concept to non-technical audience.· You have good working relationships with team-mates and peers working on related areas. You recognize discordant views and take part in constructive dialogue to resolve them.· You confidently train new team-mates about your customers, how your team’s solutions work, and how those solutions are reflected in the data.
US, WA, Seattle
Amazon is looking for a passionate, talented, and inventive Senior 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 Senior Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
US, WA, Seattle
The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, KPI analysis and reporting, predictive modeling, and data engineering. Amazon’s mission is to be the most customer centric company in the world and Workforce Staffing, the organization responsible for hourly associate hiring globally, is on the front lines of that mission and will be your core customer in this role.As part of the Workforce Intelligence team, the Applied Scientist will work on developing machine learning algorithms for our job recommender system to personalize candidate experience and improve hiring funnel efficiency. This role will partner with capacity planning leaders, product/program managers, data engineers and other data scientists to build tools with clear business impact in an exciting and fast-paced start-up environment. The Applied Scientist will be responsible for developing new predictive and optimization models as well as algorithms for key applications. Successful candidates will have a deep knowledge of wide range of machine learning techniques, extensive experience in recommender system, 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 machine learning research or frontier applied mathematical modeling and computation applicable to our problem space.
US, TN, Nashville
Workforce Staffing (WFS), a division of Amazon’s Worldwide Operations Human Resources, manages Amazon’s Tier 1 talent supply chain. We attract, hire, and onboard the associates who, by fulfilling orders at the frontlines of the company, make Amazon a global leader in delivery and logistics. The mission of the Candidate Experience Research Team (CER) is to drive positive change to Workforce Staffing’s hiring and onboarding experience. We conduct research and analyses on opportunities and successes for the business, and develop products that amplify the voice of our candidates.We are seeking a manager, data science, with a heavy focus on quantitative data analysis and evaluation, and a deep focus on understanding labor markets. You will be responsible for building a new team from the ground up, develop roadmaps, and drive business impact through your research at global scale.The ideal candidate should be well versed in quantitative methods, including classical statistics and machine learning approaches. Competitive candidates will be very comfortable with at least one computational language (e.g., R, Python). Candidates should be comfortable combing through computational models, machine learning algorithms, and analyzing their output.Candidates should have demonstrated experience leading data science projects related to labor market research and analysis, including research on wage sensitivity and elasticity, workforce relevance, and other factors.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 Workforce Staffing matches talent to business demand.This role will be located in Nashville.If you’re hungry to engage and empower Amazon Associates your expertise in mixed methods research, let's talk.
US, WA, Seattle
Workforce Staffing (WFS), a division of Amazon’s Worldwide Operations Human Resources, manages Amazon’s Tier 1 talent supply chain. We attract, hire, and onboard the associates who, by fulfilling orders at the frontlines of the company, make Amazon a global leader in delivery and logistics. The mission of the Candidate Experience Research Team (CER) is to drive positive change to Workforce Staffing’s hiring and onboarding experience. We conduct research and analyses on opportunities and successes for the business, and develop products that amplify the voice of our candidates.We are seeking a research scientist with deep expertise in diversity research, with a heavy focus on quantitative data analysis and evaluation.The ideal candidate should be well versed in quantitative methods, including classical statistics and machine learning approaches. Competitive candidates will be very comfortable with at least one computational language (e.g., R, Python). Candidates should be comfortable combing through computational models, machine learning algorithms, and analyzing their output.Candidates should have demonstrated experience leading research projects related to diversity, including program evaluation. The ideal candidate will have demonstrated experience auditing programs, and advocating for and implementing solutions.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 Workforce Staffing matches talent to business demand.If you’re hungry to engage and empower Amazon Associates your expertise in mixed methods research, let's talk.
US, WA, Seattle
Want to transform the way people enjoy music, video, and radio? Come join Alexa Entertainment, the team that made Amazon Music, Spotify, Hulu, Netflix, Pandora, and more available to Alexa customers. We are at the epicenter of the future of entertainment, innovating the way our customers interact with content at home and on the go.Alexa Entertainment is looking for a Senior Applied Scientist to lead a new team of talented and passionate scientists to intelligently arbitrate among competing possible actions to take on behalf of customers, as part of our wider spoken language understanding efforts. As a Senior Applied Scientist, you will lead the design, development, and evaluation of models and ML (machine learning) technology to enable a magical entertainment experience for Alexa customers. You will help lay the foundation to move from directed interactions to learned behaviors that enable Alexa to proactively take action on behalf of the customer. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Like the world of smart phones less than 10 years ago, this is a rare opportunity to have a giant impact on the way people live.
US, CA, Santa Clara
The Household Organization (HHO) team builds the conversations you and your family have with Alexa that help you get and stay organized. Millions of customers use our products to manage their time, get things done, and access and manage their personal information with their voice.We are making Alexa smarter and more personalized and are proud to do this in a privacy first way. We are looking to hire a machine learning scientist with expertise in NLP, differential privacy and data generation.
US, WA, Seattle
The IMDb TV team is shaping the future of digital video entertainment. Our mission is to build earth’s most customer centric ad supported premium free video service and make it trivially easy for hundreds of millions of customers to enjoy. Our team is re-inventing how to find content and building a new video destination.We need to make agile decisions based on what content creates the most value for our customers and pursue the most efficient content acquisition strategies for our desired outcomes. We are seeking an innovative Data Scientist to predict and measure the benefit of different IMDb TV titles and their impact on customer engagement as well as advertiser value. This position will be responsible for designing and building the suite of models that will predict content performance as well as the interface used by our content acquisition team to assess content for use in real time deal evaluations.This role requires a team member with strong quantitative modeling skills and the ability to apply statistical/machine learning methods to large amounts of customer and title level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and an ability to work in a fast-paced and ever-changing environment. This person will also be proficient in communicating their recommendations directly to advertising and video leadership.This position will be part of the Prime Video Content Research team, which includes a diverse scientific team of computer scientists and economists as well as other data scientists who build statistical models using world-class data systems and partner directly with the business to implement the solutions. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch. As a Data Scientist at Amazon, you will have the opportunity to work on one of the world's largest consumer data sets and influence the long term evolution of our analytics capability.This is very much Day 1 for IMDb TV. You would be joining an entrepreneurial and pioneering team working to reinvent ad supported television.
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 to pursue a transformation opportunity.About this role:We are seeking a talented, energetic, entrepreneurial, and self-driven Senior Data Scientist to join our team. Our team works on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.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.
US, MA, Cambridge
Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! 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.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As a Research Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in speech and audio processing. 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.
US, MA, North Reading
We are a smart team of doers that work passionately to apply cutting-edge advances in and to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. As an applied scientist, you will be working with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams.The ideal candidate is a strong, creative and highly-motivated Biomechanician with hands-on experience in leading multiple research and engineering initiatives. You can balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You strive for simplicity, and demonstrate significant creativity and high judgment backed by sound statistical reasoning and robust machine learning models. Come join our team, have fun, and make history.
US, WA, Seattle
Amazon is looking for an ASR/NLP domain expert, someone who will contribute to our long-term research efforts.Our mission is to push the envelope in Automatic Speech Recognition (ASR), NLP, Audio Signal Processing and Dialog Management, in order to provide the best-possible experience for our customers. Candidates can work in Seattle OR Sunnyvale!As a Senior Speech and Language Scientist, you will work with talented peers to research ASR/NLP and contribute to our long-term research efforts. 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.
US, WA, Seattle
The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists and engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams across Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
LU, Luxembourg
Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with Machine Learning and Search background to join the International Search team. As a Senior Applied Scientist, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission—real world incarnations of some of the most difficult academic problems.You will work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, and your work will directly impact millions of our customers. You will collaborate with recognized experts in science and engineering to develop novel algorithms and modeling techniques to advance the state-of-the-art in search and natural language processing. You will partner closely with our engineering teams, present your work to product and engineering teams at Amazon, publish scientific papers and apply for patents for your inventions.Responsibilities:· Work on research projects in machine learning and related fields to create highly innovative customer experiences;· Analyze large amounts of data to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities;· Validate models via statistically rigorous experiments across millions of customers;· Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scale;· Work side by side with fellow applied scientists in the team.Our team is located in our European headquarters in Luxembourg, in the heart of Europe.About Luxembourg:The Grand Duchy of Luxembourg is a diverse and multicultural country located in the heart of Europe, bordered by France, Belgium and Germany, with a total population of around half a million. Luxembourg has Luxembourgish, French and German as national languages, with English spoken by the many expatriates and most locals. Luxembourg is known for banking, steel and a number of EU institutions plus an increasing number of technology-centric organizations. Luxembourg boasts a rich cultural scene and a high standard of living. http://www.promoteluxembourg.com
US, WA, Seattle
We are looking for a customer obsessed Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the financial accounting domain. Does the challenge of advancing one of the world’s most scalable, reliable, and secure e-commerce platforms that processes tens of millions of financial transactions, in multiple currencies and countries excite you? Have you ever wanted to work on machine learning problems that will make a lasting impact, solving key problems that impact the experience of millions of Amazon customers? If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.As a member of our team you will develop and evaluate machine learning models using large data-sets, cloud services and customer behaviour to improve our customer’s experience. Working closely with best-in-class engineers you will have the opportunity to apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our technology roadmap. You will need to be entrepreneurial, able to deal with ambiguity and work in a highly collaborative environment.WHO IS FLASH?Financial Ledger & Accounting Systems Hub (FLASH), a division within Amazon’s eCommerce Foundation (eCF) is leading significant innovations in business systems integration and defining the future of accounting. Our group has been entrusted with accurate and timely recording of financial events for Amazon’s revenue generating businesses and our systems are advancing one of the world's most scalable, reliable, and secure e-commerce platforms that process hundreds of billions of dollars in transactions, in multiple currencies and countries. We are at the centre of Amazon’s key initiatives and fuelling the growth of Amazon’s businesses worldwide. Think about what it takes to process the tens of millions of financial transactions that are generated each day as millions of purchases are made, as thousands of suppliers are paid, as inventory moves in and out of warehouses, and as vendors are paid!
US, WA, Seattle
We’re trying to optimize shopping experience for Amazon’s Customers in the Physical retail space. This role will be a key member of the core Analytics team, based in Seattle, WA. 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.The Data Scientist will work closely with Business Intelligence Engineers, Product Managers, Software Engineers, and Program Managers to develop statistical models, design and run experiments, and find new ways to optimize customer shopping and product experience. The Scientist will collaborate with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight Amazon customers.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:· Translate ambiguous business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies.· Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions.· Design experiments leveraging your models to measure effectiveness· Work closely with business, engineering and scientists within the Physical Stores organization and with stakeholder teams to integrate your models into production systems.· Effectively document and communicate methodologies and results
US, WA, Seattle
The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists and engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams across Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
US, WA, Seattle
The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.As an Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists and engineers. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams across Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
US, WA, Seattle
Global Talent Management (GTM) is centrally responsible for creating and evolving Amazon’s talent programs and processes. Research and Measurement is a growing start-up team inside of GTM that has a direct impact on Amazonians across all of our businesses and locations around the world. We regularly use data to pitch ideas and drive conversations with Amazon’s executives about how to improve existing talent programs to solve organizational problems focused on (but not limited to) talent differentiation, talent movement, employee-role matching, product integration, promotion practices, organization design and succession planning, and diversity and inclusion, or invent new ones that address the evolving needs of our diverse employee base. We are looking for a dynamic, resourceful, and organized Senior Research Scientist to develop the right data-driven solutions to drive innovation and execute new strategies that support the most critical components of this rapidly scaling operation.The Research and Measurement Team within GTM team plays a crucial role in ensuring high quality products and programs facilitate our growth and development of talent in intelligent and curious ways. You will partner closely with product and program owners, as well as scientists from other disciplines (e.g. economics and statistics) with a clear path to business impact. You develop innovative and even frighteningly bold plans and ideas to discover new ways to advance our goals. You will be expected to be a thought leader as we chart new courses with our rapidly growing employee populations, and lead the way in experimenting new ideas that have not yet been explored. Successful candidates will have a deep knowledge of computing statistical and machine learning methods for large scale prediction problems -or- a deep knowledge of computational optimization methods and mathematical modelling, 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:· Work across different business lines to address business challenges, perform analyses and explain the results to senior leaders· Develop new predictive and optimization models as well as algorithms for key applications.· Design and implement quick experimentation to test new ideas· Design and execute research project plans, regular communications to key project stakeholders, summary of project findings and formulate action plans· Navigate a variety of data sources, such as enterprise data, customize surveys, focus groups, and/or external data sources· 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 modelling and computation applicable to our problem space.
US, WA, Seattle
Amazon is looking for an ASR/NLP domain expert, someone who will contribute to our long-term research efforts.Our mission is to push the envelope in Automatic Speech Recognition (ASR), NLP, Acoustic Modeling ,Audio Signal Processing and Dialog Management, in order to provide the best-possible experience for our customers. Candidates can work in Seattle OR Sunnyvale!As a Senior Speech and Language Scientist, you will work with talented peers to research ASR/NLP and contribute to our long-term research efforts. 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.