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CN, 11, Beijing
Amazon Search JP builds features powering product search on the Amazon JP shopping site and expands the innovations to world wide. As an Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search service. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages and systems.As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Your responsibilities include:· Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching, ranking and Search suggestion problems.· Analyzing data and metrics relevant to the search experiences.· Working with teams worldwide on global projects.Your benefits include:· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems with tangible customer impact· Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goalsAmazon Search JP负责在Amazon JP购物网站上开发产品搜索功能,并将这些创新扩展到全球。作为这个快速发展中的团队的应用科学家,您将在改善NLP和Amazon产品搜索的体验方面发挥关键作用。我们的最终目标是帮助客户找到他们想要的产品,并发现他们感兴趣的新产品。我们通过开发涵盖多种语言和系统的NLP组件来达成目标。作为Search JP的应用科学家,您将在Amazon网站上设计和实现搜索功能,帮助数百万客户快速找到他们想要的内容。您将基于TB级的产品和流量数据提出NLP和IR领域的创新,构建机器学习模型,并使用离线指标以及A / B测试在线指标进行效果评估,然后将模型集成到面向客户的生产搜索引擎中,从而通过数据,建模,应用,和模型选择完成上线。您的模型同时需要平衡业务指标和毫秒级响应时间的要求。您的职责包括:•设计和实施新功能和机器学习模型,包括应用最先进的深度学习来解决搜索匹配,排名和搜索建议问题。•分析与搜索体验相关的数据和指标。•与全球团队合作开展全球项目。您的收获包括:•通过开发有高度影响力的产品改善数百万客户的体验•有机会使用和创造最新的机器学习方法来解决重要现实问题•作为成长中的团队的一员,我们将共同定义团队的使命,方向以及如何实现目标
US, WA, Seattle
The data and insights our team provides, powers all IMDb properties and feeds directly into the Amazon flywheel. IMDb employees enjoy the best of both worlds, the all benefits and resources of Amazon with the autonomy and impact of a small, nimble team.A day in the lifeWe are looking for a highly skilled Data Scientist to build the necessary predictive models, optimization algorithms, and customer behavioral segments allowing us to show the right ad to the right person at the right time. As part of the Monetization Business Intelligence team you will be responsible for combining large datasets across multiple systems to find actionable patterns in user behavior. You will then transform those insights into scalable workflows to power our ad targeting systems. Leveraging machine learning, A/B testing, and statistical analysis you will refine our models and workflows, increasing scale and accuracy, driving increased value to our customers. You will work with business stakeholders from across the company to discover new monetization opportunities at scale, and tech stakeholders to build the necessary systems, processes and workflows allowing our advertising partners to directly communicate with our worldwide audience of entertainment fans.About the hiring groupDo you love discovering unique and actionable insights from big data? Do you have a passion for movies and TV? If so, IMDb is the place for you! With over 200 million monthly users, IMDb is the worlds’ most authoritative source for movies, TV, and celebrities. We sit at the unique intersection of entertainment, media, and technology, inside the world’s most innovative and customer-centric company – Amazon.com.Job responsibilitiesThe ideal candidate will be an expert in the areas of data science, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. They will have an ability to convey rigorous mathematical concepts and considerations to non-experts.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
Core AI is an interdisciplinary team on the cutting edge of economics, statistical analysis, and machine learning whose mission is to solve AI and ML problems that have high risk with abnormally high returns. We are leveraging the strengths of our engineers and scientists to build solutions for some of the toughest business problems here at Amazon. We are especially interested in large scale dynamic optimization problems and research on the interface of ML and optimization to model complex networks of buyers and sellers.A day in the lifeWe are looking for a seasoned principal scientist 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 research toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. This individual will work closely with the topnotch academic talent represented by Core AI scholars to facilitate the discovery of cutting edge research ideas and their adoption by business teams.About the hiring groupUnlike most Amazon teams, Core AI is a central organization spanning Amazon's suite of business and acts as a service to our internal partner teams for leveraging advanced science to create and drive results. Our mission is to solve AI and ML problems that have high risk with abnormally high returns.Job responsibilitiesAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Principal Research Scientist at Amazon will be expected to work directly with our Chief Economist and senior management on key business problems. They will apply the frontier of economic/statistical thinking to optimization, experimentation, forecasting, program evaluation, online advertising and other areas. You will generate cutting edge scientific ideas, build econometric/ statistical models, using our world class data systems to solve business problems in a fast moving environment. You will consult and evaluate business ideas and drive adoption of cutting edge scientific solutions by business teams.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
CA, BC, Vancouver
Are you excited about developing state-of-the-art Machine Learning, Computer Vision, Deep Learning and Natural Language Processing algorithms, and designs using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment?As an Applied Scientist with the Alexa AI team, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products
US, WA, Seattle
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 preventing eCommerce fraud? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms 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 enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a telented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Major responsibilities· Use statistical and machine learning techniques to create scalable risk management systems· Learning 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 approachesPlease visit https://www.amazon.science for more information
GB, London
Are you passionate about building data-driven solutions to drive the profitability of the business? Are you excited about solving complex real world problems? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? Join us a Data Scientist to deliver analytics solutions for Amazon Payment Products.Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, instalment financing, third party redemptions, and financial services marketplaces. Within this team, we are looking for a Data Scientist who will be responsible for performing analysis on large volumes of data which includes predictive modeling, synthesizing the analysis into business insights and communicating the findings to various stakeholders. To be eligible, the candidate must possess superior written and verbal communication skills too, in addition to proven analytical skills.Responsibilities include:· Identify, develop and execute data analysis to uncover areas of business opportunity· Learn and understand a broad range of Amazon’s data resources and know how, when and which data sources to use· Deep dive into massive data sets and pull data using SQL and build predictive models using R, Python· Present insights and recommendations to key stakeholders in both verbal and written form· Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling and project management
US, CA, Irvine
Would you like to work on a greenfield project that'll help improve the shopping experience of millions of Amazon customers? We’re building a brand new team and you’ll get to drive significant portions of the technical roadmap by getting in early.As a member of the Reinforcement Learning team within Personalization, you will help create and innovate on the next generation of Recommendation and Personalization technologies on Amazon. Our team owns creating recommendation solutions that understand long-term customer shopping patterns and build on proven reinforcement learning techniques. Spanning Academia, research, and applied machine learning techniques operating at world-class scale, we focus on recommending the right product to the right customer at the right time. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.In Personalization we use state-of-the-art machine learning techniques and A/B testing to run experiments on some of Amazon’s most prominent and valuable pages. We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. As a member of the team, you will work in a collaborative environment with a team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on multiple websites.About our team: Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.About you: You are a software engineer with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!
US, CA, Irvine
Would you like to work on a greenfield project that'll help improve the shopping experience of millions of Amazon customers? We’re building a brand new team and you’ll get to drive significant portions of the technical roadmap by getting in early.As a member of the Reinforcement Learning team within Personalization, you will help create and innovate on the next generation of Recommendation and Personalization technologies on Amazon. Our team owns creating recommendation solutions that understand long-term customer shopping patterns and build on proven reinforcement learning techniques. Spanning Academia, research, and applied machine learning techniques operating at world-class scale, we focus on recommending the right product to the right customer at the right time. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.About our org:In Personalization we use state-of-the-art machine learning techniques and A/B testing to run experiments on some of Amazon’s most prominent and valuable pages. We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. As a member of the team, you will work in a collaborative environment with a team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on multiple websites.About our team:Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.About you:You are a software engineer with an interest in machine learning, data science, search, or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!
US, MA, Cambridge
The AWS Rust team is looking for an Applied Scientist to reinvent the way we approach programming language design. We want to meet developers where they are by making the Rust programming language more expressive, more capable, and easier to use. You will be part of a world-class team of academics and engineers collaborating in the open with the Rust project and community to develop deep insights into how developer’s learn and use programming languages. You will work to design and implement usability testing and teaching techniques that enable data driven decisions about the developer experience for ecosystem challenges like the portability of async runtimes and for developer tool initiatives like TurboWish, the Rust performance profiler.The AWS Rust team is comprised of academic scholars and maintainers of the Rust language and compiler teams and Tokio stack, and we are working 100 percent in the open on the Rust project and ecosystem. We are a new model for a team. We prioritize the specific needs of engineers building cloud computing solutions. We lead the development of tools and mechanisms for building and operating services in the cloud, and we leverage our proximity to AWS services to gather insights that help us improve Rust.AWS engineers are choosing Rust for its unique combination of fast, consistent performance, and memory and concurrency safety. The AWS Rust team helps Rust deliver on its promise. We focus on the developer experience, optimizations, and tools for the features our AWS engineers will use to build and operate services that take full advantage of the Rust promises of performance and safety.As an applied scientist on the AWS Rust team, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of features from beginning to end. You will:· Research usability testing techniques for programming language design· Research teaching techniques for programming languages· Design and implement experiments that test the usability of programming language features· Incorporate the insights from these experiments into engineering design proposals· Incorporate the insights from these experiments into teaching tools and documentation for Rust· Collaborate in the open with the Rust project and community· Develop frameworks to scale the techniques and experiments you develop for broader applicationThis role can be based in Boston, NYC, Seattle, Bay Area, and other major cities.Mentorship & Career GrowthWe have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and DiversityOur team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.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.Interested in joining this role or team? Reach out to Z Ali (zunedali@amazon.com) with questions.
CA, ON, Toronto
Amazon Sponsored Ads is one of the fastest growing business domains and we are looking for talented scientists to join this team of incredible scientists to contribute to this growth. We are still in Day 1 and there is an abundance of opportunities that are yet to be explored. We are a team of highly motivated and collaborative team of machine learning and data scientists, with an entrepreneurial spirit and bias for action. We have a broad mandate to experiment and innovate, and we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Sponsored Products (SP) Bids and Budgets team is focussed on helping advertisers set their campaign bids and budgets in an optimized fashion. The team owns optimization and recommendation systems that provide advertisers with controls as well as guidance to set optimal budgets. These services are powered by backend machine learning algorithms that interact and build upon a wide range of components such as CTR prediction, dynamic pricing, ranking, ad relevance, ad quality, query understanding, recommendation systems, and much more. Our technology enables thousands of brands, vendors, sellers and authors to drive discovery and sales of their products across millions of customers.We are looking for an Data Scientist to build the next generation of optimization and recommendation services for advertisers. You will be expected to demonstrate strong ownership, and should be curious to learn and leverage multi-modal data (textual, image, etc.) to help advertisers optimize their performance. This role specifically will focus on building data science systems for bids and budgets. This role will challenge you to utilize cutting edge machine learning techniques in the domain of multi armed bandits, reinforcement learning, natural language processing (NLP), deep learning, and image recognition to deliver significant impact for the business. The ideal candidates should be able to work cross functionally across multiple stakeholders, synthesize the science needs of our advertisers, develop models to solve business needs, and implement solutions in production. Hence, we would expect them to be independent, have a natural bias to action, strong communication skills, and be agile to make continuous incremental progress on a project without losing focus of the end goal.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 Applied 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, Seattle
Data Center Systems builds world-class controls software, enabling high security metering, monitoring, alarming, and software-enabled backstops to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.As a Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision.You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you’re told a model can make assumptions, you aggressively try to break those assumptions.You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code.You do whatever it takes to add value. You don’t care whether you’re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability.You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team.You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models.You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation.
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 world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.About the Role:The Community team is looking for an experienced research science intern to help build and define the future for products that enable streamers to build engaged, healthy communities on Twitch. As part of our team you’ll move quickly to ship community health features that have high visibility, impact, and potential to delight our users. You’ll contribute directly to the design and evaluation of user-facing data-powered products that support the health and safety of communities on Twitch, shaping the experience for millions of viewers as they participate in billions of interactions.Our team seeks an outstanding student engaged in an active program of academic research, with a track record of publishing high-quality work on topics related to online communities, content moderation, and community governance. We prize creative problem-solvers with the ability to generate and test hypotheses quickly in order to build our understanding of how to create product experiences that Twitch viewers will love.You’ll find a Requirements section below. If you meet all of these then we encourage you to apply. If you meet most of them but think this role sounds like something you’d be great at, we encourage you to apply. We are passionate about building the future of community-driven entertainment, and we’re eager to find a research science intern who wants to play an active role in shaping the products that makes this vision a reality.You Will:· Drive knowledge of how to delight Twitch viewers through ownership of research projects, from data collection to model development, estimation, and validation.· Work with a diverse product team of technical and non-technical stakeholders to identify and answer research questions at the right level of detail· Collaborate with analysts, scientists, and engineers to develop reliable and reproducible analyses at scale· Deliver well-documented datasets, tools, and reports to key technical and business stakeholders
US, WA, Seattle
We develop services that defend some of the Internet’s largest businesses from bad actors and malicious requests. We make it easy for customers to help protect their web applications from attacks by allowing them to configure rules that allow, block, or monitor web requests based on conditions that they define. We've recently launched AWS WAF Bot Control that gives customers visibility and control over pervasive bot traffic that can consume excess resources, skew metrics, cause downtime, or perform other undesired activities. The problems we solve are complex and constantly evolving. Join us, and you’ll influence and build innovative new capabilities at the forefront of this emerging and rapidly changing space.We are looking for a Data Scientist to join us who is passionate about using data to drive decisions that build our Bot detection and mitigation capabilities. You'll have the opportunity to raise the bar, help in developing new systems that automatically defend against evolving threats while providing customer-facing, centralized management and visibility.We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.
US, WA, Seattle
Amazon is looking for a truly innovative and technically strong research scientist with a background in econometric analysis, statistical inference, and machine learning.As a Research Scientist, you will:· Apply your quantitative modeling skills to complex decision-making problems using noisy data coming from various data sources such as medical claims, electronic medical records, patient reported outcomes, customer satisfaction surveys, and system-generated timestamped data.· Work closely with stakeholders and translate data-driven findings into actionable insights.About You:· Problem Solver: Ability to utilize exceptional problem-solving skills to work through different challenges in ambiguous situations.· Doer: You’ve successfully delivered end-to-end analytical projects, working through conflicting viewpoints and data limitations.· Detail Oriented: You have an enviable level of attention to details, and catch things that others miss.· Communicator: Ability to communicate analytical results to senior leaders, and peers.· Influencer: Innovative scientist with the ability to identify opportunities in a fast-paced and ever-changing environment, and gain support with data and storytelling.Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. 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.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well- balanced life—both in and outside of work.Our 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, TX, Austin
The Supply Chain Optimization Technologies (SCOT) team is a machine learning powerhouse providing the brainpower behind the Amazon supply chain and using artificial intelligence to grow the most complex retail networks in the world.The team is composed of scientists, engineers, and researchers who lead the industry in the development of innovative algorithms and optimization strategies to maximize the long term effectiveness of Amazon’s Retail business.This team works to extend existing and build new algorithms and systems to achieve an ideal inventory position, maximizing in-stock selection on behalf of our customers and growing our Seller’s businesses. We own and operate production systems that decide the most optimal strategy to ship a customer order, simulation systems that allow internal customers experiment with what-if scenarios and analytical systems to help understand results and derive intelligence from the same.The team in Austin is focused on using cutting edge science to improve customer outcomes and transform our logistics, along with machine learning, and scalable distributed software in the cloud that automates and optimizes shipments to customers under the uncertainty of demand, pricing and supply. When customers place orders, our systems use real time, large scale optimization techniques to optimally choose from where to ship and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible transportation costs.As the Fulfillment Network Planning team, one of our core responsibilities is to leverage big data to identify key patterns of success and failure, identify the areas we need to focus on first, understand root cause(s) that triggered failure, and to build predictive models that will help fix the most impactful problems. The amount of data, the variables that come into play, and diversity of customers and locations make this role very challenging and also fun. It's great for those who love solving problems, especially when dealing with a lot of ambiguity and asking lots of smart questions that will lead to the discovery of universal concepts, and truly innovative ML solutions that continuously improve the customer delivery experience. Every member of the team needs to have independent thinking, a burning desire to learn, and the skills and experience needed to build science and technology so advanced that it will appear to generate “magical outcomes”.As part of your daily work you will:· Analyze and extract relevant information from large amounts of data to help automate and optimize key processes.· Design, development and evaluation of highly innovative models for predictive learning.· Think about customers and how to improve the customer delivery experience· Use machine learning and analytical techniques to create scalable solutions for business problems.· Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.· Technically lead and mentor other scientists in team.· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.· Research and implement novel machine learning and statistical approaches.To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scotAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
US, WA, Seattle
Do you want to join Alexa AI -- the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?If your answers to these questions are “yes”, then come join us with the Alexa Artificial Intelligence (AI) team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.As a Senior Applied Scientist, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..You will be expected to:· Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT).· Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints· Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios;· Perform model/data analysis and monitor user-experienced based metrics through online A/B testing;· Research and implement novel machine learning and deep learning algorithms and models.
US, CA, Sunnyvale
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?The Role:“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard HammingWe have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in.We are a smart team of doers that work passionately to apply cutting-edge advances in and to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. Key responsibilities will be to conduct research and development in algorithms and to collaborate with cross-functional engineering teams, including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use a large amount of data to train and test algorithms to bring them up to production level quality.If this describes you, come join our team at Lab126 in the heart of Silicon Valley. The team is using machine learning, real-time and distributed systems to convert requirements into concrete deliverables. A Researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.· Research, design, implement and evaluate novel algorithms· Work on large-scale datasets, focusing on creating robust, scalable and accurate computer vision systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Work closely with software engineering teams to drive scalable, real-time implementations
CA, BC
At Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.A day in the lifeAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.About the hiring groupAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.Job responsibilitiesAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
GB, Cambridge
Alexa is the ground-breaking voice service that powers Echo and other devices designed around your voice. Our team is giving Alexa her voice. Come join us, where you will not only participate in cutting-edge research, but will also have the opportunity to impact the customer experience of a cutting-edge product used every day by people you know.A day in the lifeAs an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and modelling techniques to advance the state of the art in speech synthesis.About the hiring groupWe are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers.Job responsibilities· Participate in the design, development, evaluation, deployment and updating of data-driven models for text-to-speech applications.· Participate in research activities including the application and evaluation of text-to-speech techniques for novel applications.
US, NY, New York
Our team produces the long term forecasts for Amazon that support numerous strategic and tactical decisions and systems within Amazon. We are looking for a new Applied Scientist that can help us build the next generation of forecast systems in Topline. As a Senior Applied Scientist, you are an expert in Machine Learning, Deep Learning or High Frequency forecasting who is enthusiastic working with large time-series datasets. You will help us create our next generation line of Topline long horizon forecast engines. You have experience with Deep Learning, but also know time series. You are enthusiastic about modeling but also at investigating strong signals and their interactions.A day in the lifeYou will:1. Explore data: sift through large sets of data to investigate features and signals that might be good predictors2. Build Forecasting and Predictive Models: explore forecasting and predictive methods to help us model and forecast Topline demand3. Improve our overall strategy: you think strategically and see the big-modeling-picture and have a good intuition of which modeling components to build in order to have the largest impact4. You are an excellent coder who writes and organizes code with robustness and keeping an eye for the future5. You are a builder and are passionate about creating our next generation modeling stack.6. You are customer obsessed and work backwards from customer needs.About the hiring groupWe are a team of Data Scientists, Economists, Research and Applied Scientists with expertise in Econometrics, Time Series, Machine Learning and Data Science.Job responsibilities1. Drive model development: explore long horizon forecasting strategies2. Explore data: implement robust feature and signal extraction models and seek signals that support our models and/or insights3. Analyze performance: run backtests and analyze the relative performance of your models4. Write robust scalable code that will be the foundation of our Topline forecasts5. Articulate and deliver insights to the teamAmazon 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.