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US, CA, Sunnyvale
The mission of Amazon Halo team is to create products and services that empower customers, enterprises, and care providers to improve health. Our team is looking for passionate, hard-working, and talented individuals to join our start-up environment to help invent the future of health. We have just launched our initial product and membership and are excited to continue inventing on behalf of our customers. We solve significant problems in customer health and wellness through devices, mobile applications, cloud services (AWS), computer vision, and machine learning. You will be at the heart of a growing and exciting focus area for Amazon.A day in the lifeAs a Data Scientist, you will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis.About the hiring groupYou will be part of a world-class Computer Vision and Machine Learning (CVML) team tasked with solving huge business problems through innovative technology.Job responsibilitiesAs a Data Scientist, you will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the CVML algorithms thereby enhancing the customer experience as well help inform the roadmap for science and the product. You are able to effectively analyze complex and disparate datasets collected from diverse sources to derive key insights. You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders. You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.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.
GB, MLN, Edinburgh
Do you want to make a real difference to real people's lives? Want to design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams.A day in the lifeAmazon is looking for an Applied Scientist. As an scientist working at Amazon, you will play a key role in identifying business opportunities, measuring opportunity, inventing and prototyping solutions. You will use a wide range of technologies, programming languages and systems, and work alongside an experienced engineering team. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of customers worldwide.About the hiring groupJoin a team full of talented people who come from all over the world. Enjoy the chance to work in a relaxed setting with a good social life. The team, primarily based in Edinburgh, Scotland, is rapidly expanding.Job responsibilitiesYou will work as an ML scientist in a team of other scientists and software developers. You will primarily be writing solutions in Python and will be using the latest technologies including AWS (e.g. Sagemaker). You will be contributing regularly to the code base as this is an applied role with the expectation of 50% of your time spent on the code. Your solutions will meet remarkably high standards of performance and reliability, and will operate at massive scale.You will work as part of a sustainably paced agile team. You will play a hands on role in your team giving you the responsibility, authority, and autonomy to ensure success. You will be involved in every aspect of the process - from idea generation, customer engagement, business analysis and scientific design through to software development and operations.We are looking for ML scientists who can delight our customers by continually learning and inventing and who want to use their expertise to solve real business problems. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems.The role offers an exceptional opportunity for growth and to make a real difference to Amazon recruitment. If you are selected, you have the opportunity to really impact our business by inventing, improving, and building world class systems, delivering results, working on exciting and challenging projects.
US, WA, Bellevue
Amazon’s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to improve the maps, geocodes, and routing inputs used in Last Mile planning and navigation by leveraging machine learning and deep learning techniques, and are actively looking to hire scientists to lead this area. Successful candidates will have breadth in applying machine learning to solve industry problems, deep expertise in a relevant area of ML, 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.
US, WA, Seattle
Are you interested in building and driving the technical vision, strategy, and implementation for AWS Hardware? AWS Hardware is hiring a Senior Data Scientist to help lead the definition and prioritization of our customer focused technologies and services. AWS Hardware is responsible for designing, qualifying, and maintaining server solutions for AWS and its customers as well as developing new cloud focused hardware solutions. You will be a senior technical leader in the existing Data Science and Analytics Team, build, and drive the data science and analytics needed for our product development and operations.As a Senior Data Scientist, you are considered a data science leader on your team. You take the lead on large projects and drive solutions to complex or ambiguous problems. You design solutions that help us take advantage of business opportunities (new and existing). You are a key influencer of your team’s business strategy and are able to influence the strategies of related teams. You work efficiently and routinely deliver the right things with limited guidance. You help raise awareness of new and well-established data science techniques, actively mentor and develop in your organization. Last, you are externally aware of the state-of-the-art in the data science field and are constantly focused on advancing the state-of-the-art for improving Amazon’s products and services.The ideal candidate will be able to solve complex or critical problems using data science principles that are highly accurate, stable, secure, scalable, and cost-effective. You will have hands-on experience leading multiple simultaneous initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodologies choices.You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof. As a Senior Data Scientist, you will be responsible for developing KPIs, programs, tests and research in order to drive business solutions using computational techniques, and statistics to support strategic and tactical decision-making. You will have significant experience performing large-scale data analysis and reporting and will be responsible for developing, improving and simplifying our models. This person has the opportunity to leverage extensive datasets and provide meaningful insights to improve the customer experience as well as optimize business decisions for Amazon.This position requires a solution-oriented candidate with a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset. The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand. This is a highly visible position that will interact at all levels of the business. Become part of this unique opportunity to make history defining the evolution of cloud computing.
US, WA, Seattle
The Fresh Food Fast organization is responsible for transforming the online and offline grocery experience for Amazon. We are seeking a senior science leader to define our long-term science vision, build out a high-performing team and deliver business critical scientific models to increase customer engagement, inform long-term investment decisions, and measure how grocery is contributing to Prime and Amazon.A day in the life· You will influence senior leaders (VP+) across business, product, finance, and engineering functions and you will partner closely with central Amazon teams to pioneer new models to measure grocery’s future impact to Prime and Amazon.· · You will manage a team of Data Scientists, Economists and BIEs to deliver results on behalf of customersAbout the hiring groupWe’re a team of Product Managers, Data Scientists, Economists and Business Intelligence Engineers focused on deeply understanding how F3 customers engage with physical and online grocery stores in order to enhance their shopping experience, drive engagement and loyalty, and measure their long-term impact to Amazon.Job responsibilitiesYour team will apply complex scientific methods to challenging business problems including, “How can we encourage customers to shop more frequently?”, and “how should we measure the impact of physical store expansion and technology innovation in those stores (e.g. Just Walk Out Technology)?”. You will power through ambiguity, finding the right solutions to problems and influencing others to align with your approach and help drive results. You will mentor and develop scientists to achieve their goals, raising the bar technically and driving scale and efficiencies to better leverage our data and technologies.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.
DE, BE, Berlin
Interested in machine learning and AI? Can you envision a future where technology is driven primarily by smarter machines?The mission of AWS AI is to make machine learning easy, fast, and universal across all of our customers. Our world class platform provides the services that runs 85% of all on-cloud machine learning through performance optimizations, machine learning tools, and SDKs to democratize machine learning. Our customers include scientists, data analysts, and ML engineers all building and deploying models through either SageMaker or self-managed instances on EC2/EKS.If you are passionate about advances in AutoML, meta-learning, or continual learning and have a proven track record of bringing innovative research to customers, we would like to talk with you.As an Applied Scientist in AWS AI, you will be driving many scientific breakthroughs to automate and help our customers build ML applications. The ideal candidate will possess a strong research background in machine learning with a focus on hyperparameter and architecture tuning, meta-learning, and continual learning. You will be working closely with software engineers so experience with cloud systems is a must. Our customers are deeply technical and the solutions we build for them are strongly coupled to technical feasibility.The right candidate will have the following responsibilities:· Understand customer needs and translate those into ML/AI-based solutions· Develop novel ML solutions that are robust, practical, and scalable which lay the foundation for improvement of existing or the creation of new products· Contribute to open source software and publish results in academic journals and at conferences· Partner with engineering teams to transfer viable solutions into productsWe at AWS value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.
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.
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.
US, WA, Bellevue
Amazon’s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to improve the maps, geocodes, and routing inputs used in Last Mile planning and navigation by leveraging machine learning and deep learning techniques, and are actively looking to hire scientists to lead this area. Successful candidates will have breadth in applying machine learning to solve industry problems, 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.
US, WA, Bellevue
Amazon’s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you’ll partner closely with other scientists and engineers in a collegial environment with a clear path to business impact. We have an exciting problem area to improve the maps, geocodes, and routing inputs used in Last Mile planning and navigation by leveraging machine learning and deep learning techniques, and are actively looking to hire scientists to lead this area. Successful candidates will have breadth in applying machine learning to solve industry problems, 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.
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.
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.
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.
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.