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Milind Rao


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US, WA, Seattle
Prime Video is changing traditional media with an ever-increasing selection of movies, TV shows, Emmy Award winning original content, add-on subscriptions including HBO, and live events like Thursday Night Football. Our architecture operates at exabyte-scale, engineered for reliability, scalability, and performance. Prime Video runs on thousands of device types in over 200 territories worldwide.The Playback Optimization team designs, implements and operates the services and systems responsible for Optimizing and delivering video content to all Prime video customers. Our services and systems are invoked every time our customers click play on the thousands of device types supported by Prime Video in over 240 territories worldwide. We direct gigabits of video data across the Internet every second and ensure that our customers receive the best Optimized playback experience possible. We're building a new and ground-breaking technology from the ground-up to deliver spectacular Optimized video Playback experience to our customers for big live events such as English Premier League and the US Open.As a Senior Data scientist on our team you will wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle complex problems that span a variety of domains: Machine learning, Artificial intelligence, Natural Language processing, real-time and distributed systems and help us build services and systems from ground up which scale and serve billions of requests per day, with obsessively high reliability and low operational overhead. Ideal candidate must demonstrate ability to think strategically and analytically about business, product, and technical challenges to contribute to the development of current and future technical roadmaps for Playback optimization Team. You will help us build the future of advanced analytics across the Prime Video playback, You will partner with Business Intelligence Engineers, Data Engineers, and Software Engineering teams to drive experimentation, forward-looking insights, predictive modeling, and machine learning algorithms. You will build best-in-class analytics solutions at scale. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. We experiment a lot and it is a must to learn and be curios. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers.You'll work with experienced managers who'll care for you. We'll guide you on your career growth path and there's no shortage of technical challenges.Responsibilities:• Implement code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve specific business problems. Work with software engineering teams to productionize algorithms where appropriate.• Lead the development of the scientific roadmap, guide and develop junior engineers in designing and implementing scientific solutions.• Translate analytic insights into concrete, actionable recommendations for business or product improvement. Develop and present these as reports to senior stakeholders with ranging levels of technical knowledge.• Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building to deliver accurate and effective business insights.• Innovate by researching, learning, and adapting new modeling techniques and procedures to existing business problems.• Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling, and stakeholder engagement.
US, VA, Arlington
Device Economics (DEcon) is looking for an economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to advance critical resource allocation and pricing decisions in the Amazon Devices org. This role will help refine and execute scientific vision, including executing tooling to estimate demand. Output will be included in scaled systems and inform Devices finance and business leaders.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. The Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Amazon devices are durable consumer goods that delight customers at purchase and over time, and exhibit complementarities across product lines and product generations. Device Economics seeks an experienced economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and mentor talent. This role has broad Devices-wide impact by advancing measurement of market dynamics, product interactions, and improving bundling, applicable across all product lines. This role will interact with internal customers.The candidate will work closely with Amazon Devices leadership in finance and product development to refine science roadmaps for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
US, WA, Seattle
Device Economics (DEcon) is looking for a senior economist with deep experience in empirical industrial organization and program evaluation to lead scientific evaluation and improvement of metrics used in promotion of Amazon Devices. The ideal candidate will be comfortable combining economic theory and empirical analyses to assess existing metrics in a principled manner, and devise superior metrics to advance business and customer interests. This role will be a critical leader in crafting the empirical strategy to advance promotion of first party Amazon Devices within the Device Economics team.Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches, new marketplace launches, and improvements to existing devices through software improvements. Importantly, the Amazon Devices business operates as a manufacturer, with unique complexities distinct from the retail business requiring new science and innovation. The space remains ‘Day 1’.The Devices Economics team leads in analyzing the complex marketplace dynamics and advancing science to reflect the durable goods aspect, and the broader availability of products (online and offline promotion). Device Economics enables science-driven decision making by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, promotion algorithms, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Device Economics seeks an expert in valuing durable goods to help the business optimize promotion and merchandising of our products to deliver customers. This expert will evaluate existing promotion metrics, propose theoretical framework to combine different metrics, and drive a research agenda to advance the metrics. Applications could include promotion algorithms, product assortment offline, bundling recommendation, and for hypothesis generation of value drivers.The candidate will work closely with Amazon Devices finance and promotion leadership to devise science roadmaps for innovation and simplification, and be comfortable operating in a cross-functional environment. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.
US, MA, North Reading
The Research and Advanced Development team at Amazon Robotics is seeking passionate, hands-on scientists to work on cutting edge algorithms to power automation in Amazon’s order fulfillment and transportation network. Our multi-disciplinary team includes scientists with backgrounds in AI planning and scheduling, robotic grasping and manipulation, machine learning, and operations research. We work on problems such as:- Dynamic allocation and scheduling of tasks to thousands of robots- Learning how to manipulate all the products that Amazon sells- Planning and coordinating the paths of thousands of robots- Co-design of robotic logistics processes and the algorithms to optimize themThe ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!
US, CA, Sunnyvale
Data Scientist Job DescriptionAre you interested in making history, defining and building innovative products and services for the robotics industry?AWS Robotics is a service that makes it easy for developers to build, test, and deploy intelligent robotics applications at scale. The service provides robotics software framework, development, simulation, and fleet management capabilities as an integrated platform. We are looking for a passionate Data Scientist to guide the development of new machine learning solutions for robotics.Job OverviewAs a Senior Data Scientist, you work closely with other research scientists, machine learning experts, and business experts to design and run experiments, research new algorithms, and find new ways to improve AWS’s robotic solutions. 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 AWS 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 AWS. You will have a significant role in developing others.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on computer vision systems and robotic automation dynamics.· Drive actions at scale to improve the efficiency, reliability and predictability of robotic automation solutions 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.· Utilizing Amazon systems and tools to effectively work with petabytes of data.
US, CA, San Diego
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team.The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.Main responsibilities· Use statistical and machine learning techniques to create scalable risk management systems· Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends· Design, development and evaluation of highly innovative models for risk management· Working closely with software engineering teams to drive real-time model implementations and new feature creations· Working closely with operations staff to optimize risk management operations· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Tracking general business activity and providing clear, compelling management reporting on a regular basis· Research and implement novel machine learning and statistical approaches
US, WA, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full-time employment at Amazon.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, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time employment at Amazon.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, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon.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, CA, San Francisco
About Us:Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to outstanding esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate and grow their personal interests and passions. We're always live at Twitch. Keep an eye on all things Twitch on LinkedIn, Twitter and on our Blog.About the Role:Twitch Commerce helps communities grow by allowing viewers to show their monetary support to creators through patronage. We take pride in our mission to help creators build communities and earn a living entertaining them. The scale and diversity of users, transactions, social interactions and communities presents an exciting opportunity to use our data to personalize experiences for our users.The Commerce ML team is chartered to build and operate the ML models underpinning Twitch Commerce. For example, we work with our product teams to create production models that protect our business and users from fraud and invigorate the financial vitality of our communities by making every gift subscription matter.As a Senior Applied Scientist on the Commerce ML team, you will build solutions and experiments at scale. Twitch data is unique-- granular structured event data, graphs of user interactions, raw live video, and chat. Using it to make a difference for our customers is a rewarding technical challenge for the right contributor leading to immediate monetary impact for creators and for Twitch. This is a green-field territory that combines science leadership, technical strength, and product empathy. Come join us!You Will:· Contribute to and own a piece of the long-term machine learning vision for Commerce, motivated by the needs of our customers, translating that direction into specific plans for applied scientists, s engineering, product, and design teams.· Design, prototype and implement Machine Learning (ML) algorithms· Develop the production data pipelines and ML pipelines on which those algorithms operate· Work with investigators, analysts, PMs and SDEs to turn ever-evolving insights about our users into automated services.· Mentor junior scientists and engineers
US, WA, Seattle
If you are you seeking an environment where you can drive innovation, collaborate in a team of +30 researchers, applied and data scientists, move marketing science to the edge of the industry to make sure our customers receive the advertising they vote for: keep reading.We look for inquisitive, life long learner with a keen interest on evidence driven decision making, e-commerce and digital businesses and understanding of customer behaviour. If this is you, read on!We are looking for a Senior Research Scientist that will help us create best measurement and optimization models for our marketing functions on all consumer businesses in Amazon across all geographies. This includes· Identification of stakeholder business question and potential technical solutions;· Designing POC and POC performance metrics;· Road-mapping the project and scoping the work;· Delegating tasks;· Coordinating with stakeholders during POC and productionization process· Authoring working paper and other documentation.· For specified research objective, derive new, or modified, statistical estimators or identify appropriate statistical estimator.· Deriving risk function and identifying data conditions under which proposed estimator is better than other candidate methods.· Identifying/designing checks to ensure empirical data environment meets the data criteria for proposed estimator to be superior to other candidate methods· New potential statistical solutions to identified business goals. Conscious risk taker, opportunity driven motivated by innovative approaches taking you and your team out of your comfort zone.· Establish standards across teams to ensure consistency of model outputs across portfolio of solutions.· Ability to track whole cycle of modeling: from data inputs, modeling techniques, diagnosis on outputs (interpretation and stability) and productionalization· Mentoring - Be an unblockerAmazon 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 is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
CA, ON, Toronto
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a Data Scientist on this team you will:· Solve real world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.· Deliver with independence on challenging large scale problems with ambiguity.· Manage and drive the technical and analytical aspects of Advertiser segmentation; continually advance approach and methods.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Apply statistical or machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (python or another object oriented language) for data analyzing and modeling algorithms.Why you love this opportunityAmazon 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 GrowthYou 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, Virtual Location - Washington
The intern will be placed in a large economic team with 10+ full time economists and 3 other interns in the cohort.A day in the lifeTalk with business people to understand business context.Brainstorm with peer economists.Network with other economists and scientists on the team.About the hiring groupThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.Job responsibilitiesThe Amazon Economics Team is hiring Interns in Economics. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Stata or R is necessary, and experience with SQL, UNIX, and Sawtooth would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBAʼs. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of research assistants from previous cohorts have converted to full time data science or economics employment at Amazon.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, Seattle
Amazon's Product Assurance, Risk and Security (PARS) Team is looking for a smart, energetic, and creative Applied Scientist to apply and extend state-of-the-art research in NLP, probabilistic graphs, knowledge graphs, multi-modal inputs, domain adaptation, meta-learning, and large multi-label hierarchical classification to join the Machine Learning team in Seattle. At Amazon, we are working to be the most customer-centric company on earth. Millions of customers trust us to ensure a safe shopping experience. This is an exciting and challenging position to drive research that will shape new ML solutions for product and food safety, and restricted product compliance in order to achieve best-in-class, company-wide standards around product assurance.You will analyze and process large amounts of tabular, textual, and product image data from historical orders, product detail pages, selling partner details and customer feedback, evaluate state-of-the-art algorithms and frameworks, and develop new algorithms to improve safety and compliance mechanisms. You will partner with engineers and product managers to design new ML solutions implemented across the entire Amazon product catalog.Responsibilities:- Lead and develop other scientists in the team.- Raise the bar for science excellence across PARS- Evaluate state-of-the-art algorithms in NLP, probabilistic graphs, multi-modal inputs, domain adaptation, meta-learning, and large multi-label hierarchical classification- Design new algorithms that improve on the state-of-the-art to drive business impact.- Collaborate with product, UX, and tech partners to experiment new product features in production to automate investigations and increase throughput- Design and plan collection of new labels that allow us to develop better approaches that will further improve product assurance and customer trust.- Analyze and convey results to stakeholders and contribute to the research and product roadmap
US, CA, Palo Alto
As the Director of AI Data Labeling you will lead a geographically distributed, multi-disciplinary team that is responsible for building and operating a scalable, world-class, multi-tenant, high-throughput, high-fidelity data labeling infrastructure. This role requires the ability to lead a team of machine learning (ML) applied scientists, software engineers, statisticians, economists, in-house labelers, product, and program managers. The team builds new software systems, explores new scientific approaches, defines and improves operational processes, and optimizes significant resource investments (people, vendor and compute budgets). The role requires strong operational skills to manage programs and guide product management to consolidate different labeling systems across Search, create a product roadmap that meets the needs of Search and other Amazon Consumer teams, and scale the product while meeting all internal customer needs for labeled data. This role is an opportunity to lead a fast growing area delivering labels for ML applications through a mixture of ML algorithms and human judges. It is an active area of research that will continue to evolve quickly over the next few years and we are looking for a leader at the forefront of this exciting opportunity.
US, WA, Seattle
Entering the business to business (B2B) market is one of Amazon’s most exciting growth opportunities and since launching in 2015, Amazon Business (AB) already has more than 2 million customers. We are growing fast, and require talented data science professionals to help us scale. We at Amazon Business are applying the same entrepreneurial and innovative approach that has made Amazon successful in the ecommerce and software services industry to create an unparalleled shopping experience for business purchasing. We build solutions to enable B2B customers to discover, research, and buy products and services relevant for them. Our customers include individual professionals, small businesses to large institutions (and everything in between) from different industry verticals - across seven countries!To support this vision, we are looking for a Lead Data Scientist supporting Amazon Business (AB) Sales and Marketing business units. As a Data Scientist, you will leverage advanced analytical and machine learning techniques to evolve the way we prioritize customer leads for Sales outreach, improve Sales data quality through experiments including leveraging 3rd party sources, and build hands of the wheel solutions to automatically classify and segment AB customers in suitable categories. As a Data Scientist, you will bring along outstanding analytical abilities and will be comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. Some of your key responsibilities include:· · Make recommendations for new metrics, techniques, and strategies to improve methods to prioritize accounts for manual and automated Sales outreach· · Develop machine learning driven algorithms that establish customer personas and deliver tailored suggestions based on customer's purchase behavior and AB journey· · Help Sales and Marketing uncover hidden business opportunities leveraging hard data and advanced analytical techniques· · Work with cross-functional teams including Sales, Marketing, and Product to understand business requirements and build analytical solutions to achieve key business goals· · Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality· · Foster culture of continuous engineering improvement through resource mentoring, feedback, and metricsTo know more about Amazon science, Please visit https://www.amazon.science
GB, Cambridge
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).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. 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.We 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.As 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, VA, Arlington
Are you customer-obsessed, data oriented, technologically curious, and eager to propose opportunities to improve the customer experience of using technical Amazon services? We are seeking an experienced, talented, and motivated Data Scientist to join our Technical Customer Experience Strategy team. Our team is dedicated to improving Amazon’s technical products through evaluating the end-to-end customer experience using both internal and external processes and technology. Our team’s mission is to constantly challenge the status quo and drive innovation to improve customer experience. This role specifically focuses on measuring and enhancing the quality of AWS AI services.You will own and drive the roadmap for studying AI quality and build out scalable methods, mechanisms, and tooling to evaluate and deep dive into the quality of AI services. You will engage with AWS AI service teams and leaders to develop scoring methods, identify datasets, evaluate performance, and influence change.Responsibilities:· Ensure data quality throughout all stages of processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· Continuously evaluate data analysis tools and processes and offer solutions to ensure they are efficient, high-quality and scalable.· Design, build, and deploy effective and innovative ML solutions to improve various components of the performance measuring stack, such as scoring, trend/pattern analysis, and deep dives.· Develop and improve statistical analyses that provide insights into the business· Communicate analyses and techniques, both verbally and in writing, to peers and business partners.· Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.· Publish and present your work at internal and external scientific venues in the fields of ML.· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.· Report on the status of projects in a timely and accurate fashion using available metrics.
US, WA, Seattle
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed.To help solve this problem, Amazon has begun building incremental testing capacity and conducting research and development to apply cutting-edge technology advances to solve testing bottlenecks. We are seeking a Bioinformatics Lead to help define new approaches and execute against scaling them. You will work with a unique and gifted team developing these and collaborate with cross-functional teams. Our team rewards intellectual 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 some of the most talented scientists, engineers, and product managers in the field.
US, MA, Cambridge
Want to transform the way people enjoy music, video, and radio? Come join the team that made Amazon Music, Spotify, Hulu, Netflix, Pandora, available to Alexa customers. We are innovating the way our customers interact with entertainment in the living room, on the go, and in the car. We are at the epicenter of the future of entertainment.Alexa Entertainment is looking for an Applied Scientist as we build a team of talented and passionate scientists for ASR (automatic speech recognition) and NLU (natural language understanding). As an Applied Scientist, you will participate in the design, development, and evaluation of models and ML (machine learning) technology so that customers have the magical experience of entertainment via Alexa. You will help lay the foundation to move from directed interactions to learned behaviors that enable Alexa to proactively take action on behalf of the customer. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Like the world of smart phones less than 10 years ago, this is a rare opportunity to have a giant impact on the way people live.You will be part of a team delivering features that are highly anticipated by media and well received by our customers.