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US, VA, Herndon
Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Research Science Manager in the ML Solutions Lab team, you'll partner with technology and business teams to build new solutions that delight our customers. You will be responsible for leading a team of data/research/applied scientists, deep learning architects, and ML engineers to build machine learning and deep learning models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will do all that while yourself maintaining an active personal engagement in the same kind of work at the same kind of high level that you expect from your team.The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.The primary responsibilities of this position are to:· Interact with customers directly to understand the business problem· Lead a team of scientists and engineers, oversee development and research projects at various stages ranging from initial exploration to fully functional and scalable solutions.· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.· Work closely with account teams, science teams and product engineering teams to drive model implementations· Drive new business and product initiatives, championing ideas that move our business forward· Employ a data driven approach to ensuring the success and outcomes of our ML engagementsThis position requires that the candidate selected be a U.S. citizen and hold (or be able to obtain) active Secret security clearance.Inclusive Team CultureAbout UsInclusive 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 we 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
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon's Operations?A day in the lifeYour contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.About the hiring groupEvery time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon Operations, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.Job responsibilitiesHere in WW Consumer Controllership Data Science our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Leveraging a large repository of supply chain data to develop models to classify, forecast, or detect anomalous costs.· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.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.
ES, M, Madrid
At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.You will be joining the EU Item Data Quality (EUIDQ) team. As part of InTech, EUIDQ strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to cutting edge big data and machine learning technologies, along to all Amazon catalog technology stack, and you'll be part of a key effort to improve our customers experience by tackling and preventing defects in items in Amazon's catalog.We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will own the definition, training and validation of the machine learning models, and you will work closely with the software engineering team to deploy and operate these models at scale.Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!This position will be based in Madrid, Spain
US, WA, Seattle
The Amazon Global Communities (AGC) team’s primary charter is to build physical and digital communities for Amazon partners. The team has recently launched a social media platform for Amazon partners to collaborate and learn from each other and is looking for an experienced, self-starter, driven, and detail-oriented Applied Scientist to develop a roadmap, write requirements, and work with technical and non-technical stakeholders to build an Enterprise data science platform for internal business stakeholders to use and collaborate on a daily basis.This charter requires the leader to build innovative matching and ranking solutions across very diverse categories, with an amazonian focus on our customers and on the long-term. We dive deep to figure out how customers interact with our social media technology, then we turn these learnings into innovative machine learned matching and ranking solutions to improve customer satisfaction and business metrics.In this role you will leverage your strong background in Computer Science, Natural Language Processing, and Machine Learning to help build the next generation of our model development and assessment pipeline, harnessing and explaining rich data at Amazon scale, and providing automated insights to improve machine learned matchers and rankers that impact thousands of community managers each day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The candidate will have experience with machine learning models and information retrieval systems at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.If this describes you, come join Amazon Global Communities. Our teams are using advances in search and information retrieval, machine learning, natural language processing, real-time and distributed systems to convert requirements into concrete deliverables. An Applied Scientist at Amazon will translate business and functional requirements into quick prototypes or proofs of concept. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.
US, MA, Cambridge
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As a Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.· Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.· Routinely build and deploy ML models on available data.· Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.
US, CA, Santa Monica
Are you seeking an environment where you can drive innovation? The Consumer Finance Science and Analytics (CFSA) team's mission is to inject advanced quantitative techniques into traditional financial analytics. We are data leaders, who identify and deliver actionable financial analyses and recommendations.As we expand our transportation footprint, Amazon faces important questions, including how can we identify and influence controllable factors to reduce transportation costs while driving the Amazon flywheel? CFSA is partnering with the Supply Chain Optimization Technologies (SCOT) finance team, who is dedicated to answering these questions using statistical and machine learning methods.Amazon is looking for the next outstanding Sr. Data Scientist to help build a brand new product – TRACE (Transportation Cost Explainer) led by SCOT. They will partner with a team of finance specialists, economists and business intelligence engineers to build models that explain Amazon’s transportation costs and decompose them into controllable and non-controllable levers.Our scientists raise the bar on our ability to fulfill promises to customers and business leaders at greater speed and value through:· Working with technical and non-technical stakeholders across every step of science project life cycle.· Collaborating with our dedicated finance, product, engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and connecting them to levers that that shapes management decisions.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.
US, NY, New York
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 an Applied Scientist on this team you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.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, Seattle
Amazon Games applies the principles of Amazonian culture to the world of game design. We’ve got a diverse team of talented, creative people pairing their love of making games with all the unique strengths of being part of Amazon. Across all our teams and locations, we’re united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games—and we’re looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you’ll have the chance to innovate in gameplay, creativity, and technology, while working alongside some of the smartest and most creative minds in the industry.Want to build models which deliver immediate business impact? Come work directly with partners and business leaders to grow Prime Gaming by delivering data-driven insights that help leadership optimize content and perceived value to our customers!This role allows you to influence the frontier of business development and will challenge you to master complex data sets, use programmatic evaluation and / or econometric models to address complex problems, design and test hypotheses, and build automated decision-making systems. You will work at the intersection of Business Intelligence, Fraud Prevention, Content and Operations, Marketing, and Finance teams to collaborate cross-functionally with scientists, analysts, engineers, and product leaders.An ideal candidate is an experienced, resourceful, and independent problem solver who can deploy scalable and sophisticated scientific solutions under challenging time constraints. If you have these skills and are excited about making a big impact in the gaming industry, we are looking for you!KEY RESPONSIBILITIES· Use the breadth of Amazon's available data to drive insights and recommendations for business leaders in growing the Prime Gaming business.· Partner with senior leaders to identify opportunities to test hypotheses that can drive customer acquisition, engagement, or retention.· Own the end-to-end execution of research projects from project planning, data ingestion, exploratory analysis, model development, and productionization in collaboration with a team of scientists, analysts, and engineers.· Advocate for broader understanding of scientific methods and analysis within a fast-moving business organizationAbout Amazon GamesAmazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.Inclusive Culture, Work/Life Balance, & Career GrowthHere at AWS, we embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
CA, ON, Toronto
Passionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.A day in the lifeSome things you'll do in this role:Work closely with other scientists and engineers to architect and develop the best technical design and approach.Be a hands-on technical leader, developing novel algorithms and applications to solve hard problemsDeliver with independence on challenging large scale problems with significant ambiguityWrite cogent summaries of your work, accessible to other science and business leadersAbout the hiring groupPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Job responsibilitiesPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Some things you'll do in this role:· Work closely with other scientists and engineers to architect and develop the best technical design and approach.· Be a hands-on technical leader, developing novel algorithms and applications to solve hard problems· Deliver with independence on challenging large scale problems with significant ambiguity· Write cogent summaries of your work, accessible to other science and business leadersWe are open to hiring this role in Boulder/Denver, Chicago, Toronto, Santa Monica, Arlington, Jersey City/NYC, Austin, and Seattle#madsjob#sspajobsAmazon is committed to providing accommodations at all stages through recruitment and employment in accordance with applicable human rights and accommodation legislation. If contacted for an employment opportunity, please advise Human Resources if you require accommodation, including in order to apply for a position.
US, WA, Seattle
The AWS Outcome Driven Engineering (ODE) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to real world industry problems. We dive deep with industry leaders to solve problems and unblock industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses.We are looking for a seasoned principal economist who is able to provide structure, including sourcing, defining, and leveling, around complex and varied business problems. We seek creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.As part of the Outcome Driven Engineering Supply Chain, the Principal Economist will work closely with dedicated engineering, design, and product resources to solve challenging problems of forecasting, mechanism design, and causal inference in supply chain products. The Principal Economist in this role will also work closely with senior leadership of AWS customer firms in a partnership model to develop net-new services to be offered by AWS.Responsibilities· Work with partners and the AWS ODE team to identify customer problems and propose modeling solutions that drive value to customers and revenue to AWS.· Own the development of economic models and manage the data analysis, modeling, and experimentation necessary to validate your model.· Effectively communicate econometric models to business teams and incorporate feedback into project analysis/modeling.Work/Life BalanceOur team puts a high value on work-life balance. Prior to Covid restrictions, our team was co-located in the office, but we were also flexible when people occasionally needed towork from home. We generally keep core in-office hours from 10am to 4pm. About halfof us come in earlier and the other half of us stay later. Once Covid restrictions are lifted, we expect to follow Amazon policy on working from home.Building a High-Performing & Inclusive Team CultureYou will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.Mentorship & Career GrowthYou will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.We will consider candidate placement in: Seattle, San Francisco Bay Area, Denver, Chicago, Atlanta, the Boston Metro area, and other East Coast locations in North America.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, Sunnyvale
Ever wonder how you can keep the world’s largest selection also the world’s safest and legally compliant selection? Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations.The Classification and Policy Platform team is looking for outstanding Senior Applied Scientists to build technology to automatically monitor the billions of products on the Amazon platform. The software and processes built by this team are a critical component of building a catalog that our customers trust.You will have an opportunity to work with cutting edge machine learning algorithms on large datasets. You will need to build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. As an Applied Scientist on the CPP team, you will be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.Responsibilities include:· Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and apply document understanding· Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential· Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Providing technical and scientific guidance to your team members· Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds· Being a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customersThe successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, a start-up mentality, excellent project management skills, and great communication skills.
US, CA, San Francisco
Envision being a member of a small, agile team where your ideas reach millions within months, not years. Picture working on groundbreaking consumer-facing products, where every single team member is a critical voice in the way we make decisions. Envision being able to use the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born amongst engineers, and come to life as the Digital mp3 Store, Cloud Player, and Prime Music ad-free streaming.In San Francisco we own and develop Amazon's core digital music experiences such as the Cloud Player music locker and the MP3 Store, which has a catalog of 25 million songs from all major music labels. Our music offerings are available in multiple countries, and our applications support our mission of delivering Your Music, Everywhere. We can be found on mobile and tablet platforms such as Kindle Fire, iOS, and Android as well as on Home and Auto platforms. We develop software in Java, C++, HTML5/JavaScript, Perl, Python, and various AWS technologies.We are located in downtown San Francisco in the heart of the financial district. We’re easy to reach by bike, bus, MUNI and BART.You are someone who enjoys diving deep into data to generating insights that will help drive business strategy while maintaining a customer focus. You will have demonstrated quantitative and qualitative experience with impact to a business, a track record of problem solving using software and analysis tools, and the desire to create and build new processes. You will be required to quickly gain a deep understanding of our BI platforms, database schemas, ETL’s, and business logic. You will partner with the Metrics and Data Platform team on metrics creation, data governance, QA, and requirements creation. This is a business facing role where supporting Product, Engineering, Merchandising, Marketing and Leadership teams with data analysis. You will help to optimize product and business strategies based on your findings.You are highly-motivated and thrive in an environment where problems are open-ended. You enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top. You see your mistakes as learning opportunities and continually look for ways to improve yourself, your team and your products. You understand that not all solutions come easily and don’t shy away from hard work to reach your goals. You are excited about the opportunity to engage in developing a top notch consumer web application and user experience.
US, WA, Seattle
The candidate in this role will own delivery of internal science products and solutions that help Amazon Devices make better decisions: forecasting, segmentation, financial incrementality, etc.A day in the lifeYou will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.About the hiring groupWe are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer’s expectation. Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.Job responsibilitiesThe Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Customer Behavior team provides customer engagement support to the broader organization for Kindle, Fire, Echo, and emerging products – established and emerging countries, worldwide.We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a strategic partner to the product managers and engineers on the team.Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. This Data Scientist role is responsible for building quantitative systems and predictive models that are critical inputs to Amazon’s financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.In this role, you will be a technical expert with massive impact. You will take the lead on developing our forecasting technology for key Devices metrics. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.Key Performance Areas· Implement statistical or machine learning methods to solve specific business problems.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Directly contribute to development of modern automated forecasting systems· Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance· Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedbackAmazon 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, VA, Arlington
PeopleTech is looking for a Data Science and Business Intelligence Manager to lead a team of data scientists and business intelligence engineers to deliver best in class analytical tools, reports and research projects that measure and improve the quality of time and attendance solutions used by Amazon's global workforce.What is Time and Attendance all about?Time and Attendance (TAA) is a rapidly growing team tackling new, hard problems that Amazon has not solved at scale and creating fundamentally improved ways for employees to record time and receive accurate pay. Our customers include each and every Amazon employee globally... we're talking millions of salaried employees and hourly workers on every continent...those who work in corporate offices, fulfillment warehouses, customer service sites, Alexa data services, AWS data centers, physical retail stores like Amazon Books and Go, subsidiaries, and these days, even home offices! Factor in the number of different variations of a “work week,” work day, overtime, and an equally daunting amount of reporting requirements. Account for rapid and dynamic way our businesses evolve and operate in order to drive innovation for both employees and customers -- for example, the ability for hourly workers to complete all training virtually, to work across Amazon businesses, and even to work across locations. We must be able to move at Amazon speed and continuously innovate to delight our customer. Are you up for the challenge?Who are we looking for to join our team?PeopleTech is looking for a strong and tenured Data Science and Business Intelligence Manager who will help develop and expand a robust suite of analytical tools and reports that measure and improve the quality of time and attendance solutions used by Amazon's global workforce. We are looking for someone who can lead a team to drive complex analyses to solve critical business problems faced by our team and by Amazon many businesses and customers who leverage our time solutions. This manager will lead the team to build and manage modeling projects, identify data requirements, and build methodology and tools that are statistically grounded. This leader should be passionate about defining the strategy for how we analyze the health and success of our time products, ensuring that product and program managers are using the right data to make key business decisions, quantify impact, evaluate success criteria, and extrapolate on past data to make predictions for the future.Responsibilities include:· Bring vision and strategic leadership over a team of data scientists and business intelligence engineers to establish metrics, reporting and drive research projects that provide insights into identifying and eliminating pay defects and automating manual efforts.· Creating a road map of the most challenging business questions from product owners, program managers and senior leadership, and use data to articulate possible root cause analysis and solutions· Collaborate with business/operations/engineering teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure.· Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools, notification systems and ML models.· Apply deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.· Recruit, grow, and develop top talent· Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
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, WA, Bellevue
Amazon is the 4th most popular site in the US (http://www.alexa.com/topsites/countries/US). Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include:- Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs?- Can combining supervised multi-task training with unsupervised training help us to improve model accuracy?- Can we transfer our knowledge of the customer to every language and every locale ?This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization.Please visit https://www.amazon.science for more information
US, WA, Seattle
Voice-driven AI experiences are finally becoming a reality and Amazon’s Alexa voice cloud service and Echo devices are at the forefront of this latest technology wave. We deliver world-class products on aggressive schedules that are used every day, by people you know, in and about their homes. At the same time, we obsess about customer trust and ensure that we build products in a manner that maintains our high bar for customer privacy. We are looking for a passionate and talented Applied Scientist with experience in delivering production systems based on innovative research. This is a unique opportunity to play a key role in an exciting, fast growing business. You will be working on one of the world's most cutting edge customer experience and technology.A day in the lifeYou will be researching algorithm and runing experiments to test scientific propsoal/solutions to improve our sensitive contents detection and mitigation. This will involve collaobration with partener teams including enginering, PMs, data annotators, and other scientitists to discuss data quality, policy, model development, performance evaluation.About the hiring groupThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio and video.Job responsibilitiesYou'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally.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.
CN, 31, Shanghai
The Household Organization (HHO) team builds the conversations you and your family have with Alexa that help you get and stay organized. Millions of customers use our products to manage their time, get things done, and access and manage their personal information with their voice.We are making Alexa smarter and more personalized and are proud to do this in a privacy first way. We are looking to hire a machine learning scientist with expertise in NLP, differential privacy and data generation.
US, CA, Palo Alto
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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.This opportunity is for the Advertising Forecasting Science team, which consists of scientists and engineers based in Palo Alto, California. The team builds forecasting models for advertising campaigns and financial planning, with revenue exceeding tens of billions of dollars. In addition, the forecasting science team makes auction prediction and handles bid optimization for billions of requests per day, impacting the company’s performance directly using advanced Machine Learning algorithms.Senior Data Scientist (technical leader) on this team you will:· 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.· Lead Data Science solutions from beginning to end.· 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, Seattle
Job responsibilities“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.”Please visit https://www.amazon.science for more informationDo you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for our India Consumer Businesses. The team builds the next generation of Machine Learning services for a wide spectrum of problems in areas such as Catalog Quality, Recommendations, Search Relevance, Online Ads, Pricing, Demand/Forecasting, and Conversational Systems.The Manager, Machine Learning role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques. This is one of the most exciting machine learning job opportunities on the internet today. If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.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.