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US, WA, Seattle
Do you want to drive innovation in the healthcare space and make a positive difference in people's lives?Alexa is Amazon’s cloud-based voice service available on more than 100 million devices. The Alexa Health & Wellness team is developing innovative solutions to make Alexa a trusted health assistant for millions of customers.A day in the life· You will be working with the product manager to gather requirements, collect data from various resources and define functional requirements for the proposed features.· You will develop FSTs and statistical models and release them to the production environment.· Continue monitoring the performance of the model and improve it over time.About the hiring groupWe are building software that leverages voice and AI to help millions of people live longer, healthier lives. In the last year we launched features focused on medication management, mental health, and COVID19. We have an exciting roadmap for 2021, and we are just getting started.Job responsibilitiesWe are entering a new era where human machine interactions will have an unprecedented level of intelligence and automaticity with profound impacts on our daily lives and how businesses are conducted. Alexa holds the promise to address the last-10-ft challenge and enable novel applications across versatile domains. We are building a new Alexa team to raise the bar.We are seeking a Data Scientist to innovate across broad machine learning areas from new language models (for improved natural language understanding accuracy in complex environments) to personalized recommendation services based on real time data.This role is a great fit for a leader who is passionate about innovations and seeks growth opportunities to make disruptive impacts.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.
US, WA, Bellevue
Do you have a passion for diving deep to uncover key insights that drive critical business decisions? If yes, the Alexa Artificial Intelligence (AI) team is looking for somebody with your enthusiasm and skills to work as part of the team. We are looking for a Behavioral Research Scientist who is curious, driven, and passionate about marketing insights and analytics. If you are looking for a role where you can make a major impact, we want to meet you.A day in the lifeThis role will work closely with scientists and engineers to develop and run statistical models to improve data annotation, quality and efficiency. You will collaborate directly with economists to produce modeling solutions, partner with software developers and data engineers to build end-to-end data pipelines and production code, and 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.A successful Behavioral Research Scientist will be expected to be a strong, 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.About the hiring groupThe Alexa AI team’s mission is to revolutionize AI data labeling to elevate ML research, and help Alexa AI to become a world-class ground truth data provider.Job responsibilities· Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques.· Understand the business reality behind large sets of data and develop meaningful analytic solutions.· Innovate by adapting to new modeling techniques and procedures.· Utilizing code (preferably Python) 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· 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 recommendationsAmazon 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.
LU, Luxembourg
Amazon is looking for a passionate, talented, and inventive applied scientist with Machine Learning and optionally Search background to join the International Search team. As an 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
DE, NW, Aachen
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. As part of our speech and language team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to build and advance state-of-the-art spoken language understanding systems. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology.A day in the lifeOur mission is to create a delightful experience to Amazon’s customers by advancing the state-of-the art in Natural Language Understanding (NLU) and Machine Learning (ML). 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. You will deliver algorithms, model building tools and workflows based on experimental results and actively participate in strategic planning.About the hiring groupWe’re building natural language solutions for Amazon Alexa. Our innovation impacts internal Amazon developers and end customers of Alexa and other Amazon services in multiple languages.The team is composed of scientists and engineers who jointly develop prototypes and production models/tools.Job responsibilitiesWe are looking for passionate and creative Applied Scientist to help build industry-leading speech and language solutions to enhance user interactions with our products and provide the best-possible experience for our customers.As an Applied Scientist on our team, you will build and optimize cutting-edge natural language understanding systems and conduct core research aimed at advancing the state of the art. This involves:· Researching the latest modeling techniques. Understanding trade-offs between competing approaches, and identifying the ones that are likely to have real impact on our customers.· Implementing and/or improving modeling tools, training recipes and prototypes utilizing programming skills in Python and/or Java.· Conducting experiments to assess the quality of language processing modules and to study the effect of different modeling techniques.· Analyzing field data in order to identify areas of possible improvement or enhancement of the system.· Presenting and discussing ideas and results within the team and beyond.
CA, ON, Toronto
We are a team of doers working passionately to apply cutting-edge advances in technology to solve real-world problems. As a Research Scientist at the intersection of optimization and the life sciences, you will participate in developing exciting services for customers. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with others teams.The Role:We are looking for an outstanding Scientist that is able to apply optimization theory into practice through experimentation and invention, develop new algorithms usingmathematical programming techniques (such as column generation and Benders decompsition) for complex problems, implement prototypes and work with massive datasets. Amazon has a culture of data-driven decision-making, and the expectation is that analytics are timely, accurate, innovative and actionable.Responsibilities:· Use optimization techniques to support the business.· Apply decomposition methods as needed to solve large scale models.· Establish processes for large-scale data analyses, model development, model validation and model implementation.· Act as a point of contact and operations research leader for the business.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
US, WA, Seattle
Global Talent Management (GTM) owns a suite of products which help drive career development for hundreds of thousands of Amazonians globally. GTM Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights within the software systems that support Amazonians throughout their employee journeys. The team itself is composed of scientists and engineers with diverse backgrounds and expertise, coming together to create innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforces.This role will support the advancement of key workforce planning products owned by the team. Your responsibilities will focus on causal inference related to Amazon’s talent processes, helping leaders better understand the drivers of retention, predictors of promotion, and generating insights to help Amazonians achieve their career goals. You will do this by building econometric models, using world class data systems, and directly applying economic theory to solving business problems in a fast moving environment. You’ll work with other Scientists at Amazon developing new techniques, processing large data sets, addressing quantitative problems, and contributing to the design of automated systems around the company.A day in the lifeIf you’re interested in seeing your research and models get used regularly by thousands of Amazonians, and working in a large inter-disciplinary science team that helps to inform talent management decisions, this role is for you.Key Responsibilities:· Build and operationalize econometric and statistical models· Conduct analysis utilizing techniques in causal inference like, difference in differences, propensity score matching, and experimental design· Work collaboratively with economists and research scientists to assist in the design and implementation of analysis to answer challenging HR questions· Interpret and communicate results to senior leadership· Aggregate and analyze data pulled from disparate sources (HR, Finance or other business systems) and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations· Assist in the design and delivery of automated, scalable analytical models to stakeholders· Report results in a manner which is both statistically rigorous and compellingly relevantAbout the hiring groupGlobal Talent Management (GTM) owns a suite of products which help drive career development for hundreds of thousands of Amazonians globally. GTM Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights within the software systems that support Amazonians throughout their employee journeys. The team itself is composed of scientists and engineers with diverse backgrounds and expertise, coming together to create innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforces.Job responsibilitiesGlobal Talent Management (GTM) owns a suite of products which help drive career development for hundreds of thousands of Amazonians globally. GTM Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights within the software systems that support Amazonians throughout their employee journeys. The team itself is composed of scientists and engineers with diverse backgrounds and expertise, coming together to create innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforces.This role will support the advancement of key workforce planning products owned by the team. Your responsibilities will focus on causal inference related to Amazon’s talent processes, helping leaders better understand the drivers of retention, predictors of promotion, and generating insights to help Amazonians achieve their career goals. You will do this by building econometric models, using world class data systems, and directly applying economic theory to solving business problems in a fast moving environment. You’ll work with other Scientists at Amazon developing new techniques, processing large data sets, addressing quantitative problems, and contributing to the design of automated systems around the company.If you’re interested in seeing your research and models get used regularly by thousands of Amazonians, and working in a large inter-disciplinary science team that helps to inform talent management decisions, this role is for you.Key Responsibilities:· Build and operationalize econometric and statistical models· Conduct analysis utilizing techniques in causal inference like, difference in differences, propensity score matching, and experimental design· Work collaboratively with economists and research scientists to assist in the design and implementation of analysis to answer challenging HR questions· Interpret and communicate results to senior leadership· Aggregate and analyze data pulled from disparate sources (HR, Finance or other business systems) and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations· Assist in the design and delivery of automated, scalable analytical models to stakeholders· Report results in a manner which is both statistically rigorous and compellingly relevantAmazon 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.
IN, TS, Hyderabad
At Amazon, we're working to be the Earth’s most customer-centric company. The goal of IN Transportation Execution - AOP Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the transportation space.IN Transportation Execution - AOP Team is seeking a Data Scientist to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Data Scientist will work closely with other Program managers, Operators, Product teams, to design and run experiments, research new algorithms, and find new ways to improve operations analytics to optimize the Customer experience. The Scientist 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. Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon worldwide.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on last mile delivery dynamics.· Drive actions at scale to provide low prices and increased selection for customers using scientifically-based methods and decision making.· Helping to build production systems that take inputs from multiple models and make decisions in real time.· Automating feedback loops for algorithms in production.· Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations· Communicating with and supporting various internal stakeholders and external audiences· Utilizing Amazon systems and tools to effectively work with terabytes of data.· Partnering with Tech team and collaborating Tier-1/2 Services engineering
US, WA, Seattle
How can we improve the customer experience by tailoring what we display on our pages based on available data? How do we build various data models that helps us innovate different ways to enhance customer experience? What is the relationship to what the customer actually does on the site vs., what they actually buy? How do we do all of this without asking the customer a single question?Our team's stated missions is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations". Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline customers' shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day.Using Amazon’s large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
DE, NW, Aachen
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!Amazon is looking for passionate, talented, and inventive Scientists to help build world-leading Speech and Language technology. Our mission is to create a delightful experience to Amazon’s customers by advancing the state of the art in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU) and Machine Learning (ML).A day in the lifeAs part of our speech and language team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to build and advance state-of-the-art spoken language understanding systems. 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.About the hiring groupWe are hiring in all areas of spoken language understanding with a special focus on acoustic modeling, language modeling, finite state methods, etc.Candidates should have a strong background in machine learning, statistics, and coding, are eager to learn and have a "can do" attitude.Job responsibilitiesAs a Research Scientist on our team, you will build, extend and optimize cutting-edge spoken language understanding systems and conduct core research aimed at advancing the state of the art. This involves:· Researching the latest modeling techniques. Understanding trade-offs between competing approaches, and identifying the ones that are likely to have real impact on our customers.· Implementing and improving modeling tools, training recipes and prototypes utilizing programming skills in Python, Java and/or C++.· Conducting experiments to assess the quality of speech recognition and natural language processing models and to study the effectiveness of different modeling techniques.· Analyzing field data in order to identify areas of possible improvement or enhancement of the system.· Presenting and discussing ideas and results within the team and with internal stakeholders.
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 Senior Applied 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, CO, Boulder
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, 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 and break fresh ground in product and technical innovations every day!We are looking for an Applied Scientist to join the Audience Metrics and Telemetry team in Boulder, CO.What we do: Advertisers need to create targeted, personalized experiences for people if they want to grab their attention. To help match ads to the right users, our engineering teams curate so-called "audiences", which group people with similar interests, lifestyle, demographics, or purchase intentions. Our services ingest billions of behavioral signals every day, apply machine learning and statistical models to package these signals into audiences, and decorate them for every ad request received within a fraction of a second. This allows ad campaigns to run more effectively and to adjust the messaging for different customer groups. Audience Metrics and Telemetry owns lifecycle and performance management for millions of audiences, running A/B experiments to quantify incremental lift in performance and ensuring that our audience portfolio is first rate.What to expect: As a scientist on the team, you can be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models. We expect you to deliver end-to-end solutions rather than algorithm prototypes and you will work closely with the other scientists and engineers in the organization to productionize, scale, and deploy your models world-wide. A successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and with great leadership and communication skills. In turn, we offer an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.As on Applied Scientist on the Audience Metrics and Telemetry team, you will:· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment.· Research and implement novel machine learning and statistical approaches.· Report results in a manner which is both statistically rigorous and compelling to read for non-scientists· Collaborate with software engineering teams to integrate successful experimental results into large-scale, highly complex Amazon production systems.· Contribute to Amazon's Intellectual Property through patents and/or external publications.· Research optimal ML models, build ML models, perform proof-of-concept and deploy ML models into production.Work environment: The position is based in sunny Boulder, CO with easy access to the mountains. We recognize the benefits of a more flexible schedule and welcome work-from-home a couple of days per week.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US, WA, Seattle
Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with huge business impact on millions of customers? Join our team of Scientists and Engineers developing models to predict customer behavior and optimize the customer experience with Amazon Prime. This includes identifying who our customers are and providing them with personalized relevant content. As an ML expert, you will partner directly with product owners to intake, build, and directly apply your modeling solutions.There are numerous scientific and technical challenges you will get to tackle in this role, such as global scalability of models, combinatorial optimization, cold start problem, accelerated experimentation, short/long term goals modeling, cohort identification in a semi-supervised setting, and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from supervised learning, bandits, optimization, and RL.As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of.You will also utilize and be exposed to the latest in ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various ML algorithms and techniques (XGBoost, Random Forests, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning), and statistical modeling techniques.Major responsibilities· · Build and develop machine learning models and supporting infrastructure at TB scale, in coordination with software engineering teams.· · Leverage Bandits and Reinforcement Learning for Recommendation Systems.· · Develop offline policy estimation tools and integrate with reporting systems.· · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.· · Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.· · Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.· · Use machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.· · Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.
US, WA, Seattle
In the Amazon Product Knowledge Team, we are building comprehensive schematic and semantic constructs to understand customer intent, in order to provide a delightful experience that feels targeted to their shopping mission. It expands beyond factual product characteristics (e.g. resolution of a TV) to additional dimensions used in customer shopping missions: what the product is used for (e.g. baby-proofing), where the product is used (e.g. kitchen), who uses the product (e.g. teenager), when the product is used (e.g. thanksgiving), and opinions about the product (e.g. cute t-shirt). We build scalable solutions that are partially or entirely powered by AI and ML to discover Product Knowledge by mining customer engagements (e.g. search queries, customer reviews, web pages … etc.).We have multiple positions for applied scientists who are excited to work on big data challenges including; web scale data integration, natural language processing, discovery of new relationships along with their semantics, knowledge inferencing and enhancement, knowledge embedding, entity recognition, and improving data quality to support strategic and tactical decision-making in building Product Knowledge.We are looking for applied scientists with experience in building practical solutions who can work closely with software engineers to ship and automate solutions in production. Our applied scientists also collaborate and partner with teams across Amazon to understand and reflect on how to create benefit for every customer.
US, WA, Seattle
In the Amazon Product Knowledge Team, we are building comprehensive schematic and semantic constructs to understand customer intent, in order to provide a delightful experience that feels targeted to their shopping mission. It expands beyond factual product characteristics (e.g. resolution of a TV) to additional dimensions used in customer shopping missions: what the product is used for (e.g. baby-proofing), where the product is used (e.g. kitchen), who uses the product (e.g. teenager), when the product is used (e.g. thanksgiving), and opinions about the product (e.g. cute t-shirt). We build scalable solutions that are partially or entirely powered by AI and ML to discover Product Knowledge by mining customer engagements (e.g. search queries, customer reviews, web pages … etc.).We have multiple positions for applied scientists who are excited to work on big data challenges including; web scale data integration, natural language processing, discovery of new relationships along with their semantics, knowledge inferencing and enhancement, knowledge embedding, entity recognition, and improving data quality to support strategic and tactical decision-making in building Product Knowledge.We are looking for applied scientists with experience in building practical solutions who can work closely with software engineers to ship and automate solutions in production. Our applied scientists also collaborate and partner with teams across Amazon to understand and reflect on how to create benefit for every customer.
US, WA, Seattle
Amazon Web Services (AWS) Renewable Energy Team is looking for Data Scientist to develop new solutions and analytics towards delivering 100% renewable energy to our global infrastructure. You will utilize innovative data science, machine-learning, and distributed software on the Cloud to build systems that automate and optimize delivery of our renewable energy to our load under the uncertainty of demand, pricing and supply.The ideal candidates will have a deep knowledge of quantitative modelling in at least one area (ML, optimization, multivariate statistics), the ability to build and refine prototype models that can be implemented in production, 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.This is an exciting role part of a program focused on optimizing our renewable assets across the globe. You will work closely with the energy team on large-scale renewable projects and help AWS achieve its 100% renewable energy goals.
CA, BC, Vancouver
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.Amazon has built a reputation for excellence with recent examples of being named the #1 most trusted company for customers. To deliver on this reputation for trust, the Seller Partner Abuse team is tasked with identifying and preventing abuse for our customers and brand owners worldwide.Seller Partner Abuse is seeking an innovative, results-oriented, customer-centric data scientist to drive expansion of innovative ML products globally in the Risk space. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities:· Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions.· Employ the appropriate algorithms to discover patterns of risks, and prevent abuse· Design experiments, test hypotheses, and build actionable models to optimize SPA policies and operations· Solve analytical problems, and effectively communicate methodologies and results both in writing and verbal· Build predict models to forecast risks for product launches and help predict workflow and capacity requirements for SPA· Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies· Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaAmazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
US, CA, Sunnyvale
The principal scientist will initiate and work on key initiatives for developing and advancing world-leading automatic speech recognition (ASR) technology for any voice-driven Alexa end-point. The goal is to achieve unmatched speech recognition accuracy for any device, in any acoustic environment, for any speaker, and for any domain and application running on Alexa. You will analyze system short-comings, for leading the development of data-driven and algorithmic improvements, for defining the path to production, and for influencing design and architecture of goal-relevant software. You will work in a hybrid, fast-paced organization where scientists and engineers work jointly together and drive improvements directly to production.The principal scientist will either go deep on a specific area like single ASR model recognizing multiple languages supporting in-utterance code switching, or models learning without human transcription and act as a technical lead, or will work across teams and areas influencing data, algorithm, and design decisions. Areas of interest cover the whole ASR spectrum, including general purpose ASR, multi-channel raw audio input acoustic modeling, noise robust acoustic modeling, device and speaker independent acoustic modeling, acoustic model adaptation, advanced deep learning for acoustic and language modeling, active learning and semi-/unsupervised learning techniques for acoustic and language modeling, learning from heterogeneous and mismatched audio and text data including data selection and data simulation, large-scale open-domain language modeling, language model adaptation, contextual and personalized language modeling, multi-lingual automatic pronunciation generation, text verbalization and (inverse) text normalization, etc.The principal scientist will help drive scalable, robust, and automated solutions, making new algorithms and processes scalable to work on production-scale data sizes and achieving automated adaptation of processes and algorithms to new environments and to other locales. You will also help integrate new algorithms and processes into existing modeling stacks, simplify and streamline the existing modeling stacks, and develop testing and evaluation strategies. You will influence design and architecture of software stacks used offline and at runtime for building and deploying ASR model artifacts, achieving flexible yet efficient solutions suitable for R&D work and for running in production.
IN, KA, Bangalore
Job Description:We are seeking a Sr. Data Scientist to be part of the Search Science and Artificial Intelligence team world wide. This is a strategic role to shape and deliver our technical strategy in developing and deploying Machine Learning solutions to our hardest customer facing problems. Our goal is to delight customers by providing a a measure of customer experience. These initiatives are at the heart of the organization and recognized as the innovations that will allow us to build a differentiated product that exceeds customer expectations. We're a high energy, fast growth business excited to have the opportunity to shape Search is defined for years to come. If this role seems like a good fit, please reach out, we'd love to talk to you.This role requires working closely with business, engineering and other scientists within Search, Catalogue and across Amazon to deliver ground breaking product. You will lead high visibility and high impact programs collaborating with various teams across Amazon. You will work with a team of Engineers and Scientists to launch new customer facing features and improve the current features.
IE, CO, Cork
At Amazon we strive to be earth’s most customer centric company and data is a foundational component to making this happen. Are you curious about new platforms and technologies and have a desire to deliver world-class customer service? Are you excited by the idea of owning a problem and innovating on behalf of customers? Can you deal with ambiguity and keep up with the pace of a company whose cycles are measured in weeks, not years?The Device, Digital & Alexa Support (D2AS) team works with some of the fastest growth areas in the company. Amazon introduced the first Kindle in 2007 - since then, we have expanded to become the best-selling e-reader family in the world. We have gone beyond Kindle with our powerhouse Fire tablets, built for work and play with our Fire operating system. For streaming media lovers, we have created Amazon Fire TV, Fire TV Stick, and Fire TV Edition with voice search. Fire TV devices come with access to 500,000 movies, TV shows, and tens of thousands of channels, and apps. In 2014, we introduced Amazon Echo and Alexa, the voice service that powers Echo and other devices so customers can play music, control their smart homes, and get information, news, weather, and more using just their voice. Alexa is now integrated with over 20,000 third party devices from 3,500 brands. Alexa has 50,000 skills and developers in 180 countries.The Device, Digital & Alexa Support (D2AS) – Tech team is looking for a Manager, Data Science. This position will lead innovative science solutions and products to increase Amazon’s ability to personalize Customer Service: from models to understand customer needs, optimization models to identify the best solution, and personalized recommender systems. You will identify specific and actionable opportunities to solve existing Customer problems and develop science based products.The ideal candidate will have outstanding communication skills, strong technical knowledge, proven ability to lead a team scientists, with an innate drive to deliver results. She/he will be comfortable with ambiguity and will enjoy working in a fast-paced environment.Responsibilities:· Lead a team across technical job families - scientists and engineers· Manage a science agenda that balances short term deliverables with measurable business impact with long term projects.· Develop a roadmap/products for ML model deployment· Provide technical and scientific guidance to team members· Hire and develop top talent· Collaborate with business and software teams both within and outside of D2AS
US, CA, San Diego
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world? If your answers to these questions are “yes”, then come join the Alexa Artificial Intelligence team. We are responsible for the deep learning technology that is central to the automated ranking and arbitration to optimize for end-to-end customer satisfaction.As an Applied 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.