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US, MA, Cambridge
Amazon is looking for a passionate, talented, and inventive Scientist 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 Speech and Language 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 novel products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
US, MA, North Reading
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.POSITION OVERVIEWThe Technical Operations Manufacturing team at Amazon Robotics is looking for an experienced, results-oriented Data Scientist to solve difficult problems in manufacturing. The data ranges from mechanical dimensional data to results of complex electromechanical tests, with a little bit of everything in between. Our team is looking for a data scientist to derive insights from this data and communicate the results though white papers, presentations, and production ready models. This role will interface with engineers in software, hardware test, manufacturing, and design. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization in a combined team of software engineering and data science.A successful candidate should have a background in business analytics, data science, and data visualization. We are looking for jack-of-all-trades that is able to select and use the right tools to bring clarity to complex questions and help drive decisions. While we don’t assume mastery in all areas, successful team members can speak and work competently in multiple domains.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on manufacturing failures.· Optimizing identification of defective product to improve our customer satisfaction.· Drive actions at scale to improve manufacturing yields using scientifically-based methods and decision-making.· Helping to build production systems that take inputs from multiple models and make decisions in real-time.· Automating feedback loops for algorithms in production.· Utilizing Amazon systems and tools to effectively work with terabytes of data.
US, WA, Seattle
Amazon’s global workforce composition is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) Science supports the science and analytics behind the talent management products that enable Amazon to Hire, Retain, and Develop its global workforce. GTM Science builds models that integrate with this suite of products, and helps leaders at Amazon understand and influence the direction their workforce is headed.Our vision in GTM Science is to use machine learning and science to surface the most impactful and personalized insights for each of our customers at scale, from managers to senior business leaders. To support this, a rich set of models will be needed that draw from diverse fields of machine learning, statistics and decision theory to build product solutions.We are looking for an experienced machine learning scientist to lead projects to develop insights using techniques from a range of fields such as supervised and unsupervised learning, causal inference, machine learning on graphs, reinforcement learning and others on rich and novel datasets. Ongoing work includes a suite of predictive models for talent movement, organizational network analysis of interactions between Amazonian’s, identifying deep personalized insights for customers, building new science-based insights products that deliver business value, and partnering with our dev and product teams to integrate these models into production systems. The role involves working with other scientists, developers and senior Amazon business leaders in a high visibility environment.As a senior applied scientist in GTM Science, you will have the opportunity to work on exciting new problems in one of the most innovative applications of science in the Human Resources space. You will help to solve high impact business problems in an unconventional domain, and encouraged to patent and publish your contributions. You will also mentor and work with junior scientists on the team. If this kind of work excites you, reach out to us to find out more!
IN, TS, Hyderabad
Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network.Core Transportation Technology is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Core Trans, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting off-manifest at a package level. Your models will help optimize shipping cost by improving quality of upstream data (such as through corrections to weights and dimensions in product catalog). Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications.Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services.You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements.If you are excited by this charter, come join us!
US, CA, Palo Alto
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are looking for experienced Applied Scientists who have a deep passion for building machine-learning solutions, ability to communicate data insights and scientific vision, and execute strategic projects.As an Applied Scientist in Machine Learning, you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· Research new machine learning approaches.
US, CA, Palo Alto
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.We are looking for experienced Applied Scientists who have a deep passion for building machine-learning solutions, ability to communicate data insights and scientific vision, and execute strategic projects.As an Applied Scientist in Machine Learning, you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Run A/B experiments, gather data, and perform statistical analysis.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production· Research new machine learning approaches.
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:We are a smart team of doers that work passionately to apply cutting-edge advances in robotics and software 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 computer vision and related disciplines, 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 test algorithms to bring them up to production level qualityIf this describes you, come join our team at Lab126 in the heart of Silicon Valley. The team is using computer vision, sensor fusion, 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.Key responsibilities will be to conduct research and development in computer vision and related disciplines, and to collaborate with cross-functional engineering teams 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. In this role, you will:· Research, design, implement and evaluate novel algorithms· Work on large-scale datasets, focusing on creating scalable and accurate computer vision systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Collaborate with teams spread all over the world· Work closely with software engineering teams to drive scalable, real-time implementations· Track general business activity and provide clear, compelling management reports on a regular basis
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, image recognition, 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 systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Collaborate with teams spread all over the world· Work closely with engineering teams to drive scalable, real-time implementations
US, WA, Seattle
Are you passionate about leveraging your data science skills to make impact at scale? Do you enjoy developing innovative algorithms, optimization and predictive models to generate insights and recommendations that will be used by millions of Amazon selling partners and FBA operation teams to drive customer impact?Over 2 million Sellers in 10 countries list their products for sale on the Amazon Marketplace. To meet our sellers’ needs, our smart and customer-obsessed employees are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. FBA Inbound analytics and data science team partners with FBA inbound product management team to optimize supply chain cost and lead time variability by influencing right trade-offs among cost, speed and FBA supply network capacity.We are looking for a motivated Data Scientist to build, optimize and productionize cutting edge machine learning models. A successful candidate will have strong quantitative, data mining, statistical modeling, machine learning skills and is comfortable facilitating ideation and working from concept through to execution. The position will partner with Product Management, Engineering, Supply Chain optimization and Finance teams to enhance short term and long term business use cases that leverage a range of data science methodologies to solve complex problems for the global FBA Inbound network.A qualified candidate must have demonstrated ability to develop and manage medium to large-scale models and methodologies that are statistically grounded but also functional and practical. Must possess strong written and verbal communication skills, proven ability to engage and collaborate with customers to drive improvements. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology.Key responsibilities of FBA Inbound data scientist include the following:· Research machine learning algorithms and implement by tailoring to FBA business problems· Manipulate/mine data from large databases (Redshift, SQL Server) and create automated pipeline for model training data sets· Collaborate with BI/Data Engineering teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality· Improve model usability by analyzing customer behavior and by gathering requirements from business owners and other tech teams. Incorporate new data sources and implement creative methodologies to improve model performance· Help build production grade systems to support decision making with an objective of optimizing the FBA Inbound business goals to improve customer experience and grow the Amazon business· Create and track accuracy and performance of model predictions/recommendations. Retrain models and research processes optimization· Foster culture of continuous engineering improvement through mentoring, feedback, and analysis.· Lead setting up of machine learning infrastructure and processes for team to collaborate and share code at scaleTo 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, Bellevue
Are you passionate about being a part of purposeful work that has meaningful impact on communities and those in need? Do you get excited about operating in an ambiguous green field environment where you have the opportunity to define a roadmap for work that is critical to our continued ability to deliver smiles in communities? The newly created Amazon Logistics (AMZL) Community Operations team is charged with defining a plan for ensuring our AMZL operations deliver a positive net impact in the communities where we operate today and in the future. We must drive a shift in community engagement being a separate activity and embed standard work into our day to day operations to drive a positive impact in our communities. If you want to join a fast-paced, innovative team that is critical to our long term expansion plans, this is the place for you.AMZL Community Operations looking for a dynamic, resourceful, and organized Behavioral Research Scientist to develop the right data-driven solutions to support the most critical components of this rapidly scaling operation. As an applied social scientist, you will work closely with key partner teams to better understand our Amazon brand representatives (including Station Leaders, Amazon Associates, DSPs, DAs, and Amazon Flex DPs) and local communities where we work. You will be expected to be a subject matter expert in qualitative analysis with the ability communicate highly complex findings to multiple audiences. The ability to understand and measure human behavior is also a highly valuable asset. You may come from one of many different types of mixed-methods backgrounds, but you must be comfortable with the complete research workflow, from research design to statistical analysis to reporting.The ideal candidate is excited about ambiguity and a “start-up” type environment, passionate about leading purposeful work, learning and building something from scratch as well as enhancing existing systems, and can work seamlessly across multiple stakeholder groups. In addition to designing meaningful research questions and analyzing the resulting data, you must be able to see a full loop vision that goes beyond experimentation to conceptualizing design solutions, collaborating closely with multiple teams to ensure the relevance and impact of your work to business stakeholders. Successful candidates will have a deep knowledge of applied survey and data collection methods, the ability to draw program-wide conclusions, the communication skills necessary to explain scientific approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long-term problems.Key Responsibilities:· Lead a project to develop and implement a community sentiment program that will measure impact of AMZL operations and community engagement at the neighborhood level for every delivery station in the world.· Consult and collaborate with internal and external stakeholders to develop overall program methodology (e.g., instrumentation, sampling logic, analysis framework), collection logistics, and analysis framework. Includes working directly with BIEs, other scientist, and product developers on the team to build out a scalable solution.· Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results.· Communicate data-driven insights and recommendations through presentations, papers, and other internal/external communication channels.
US, WA, Seattle
Amazon.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 and friendly work environment.Amazon’s Digital Content and Commerce Services team (DCCS) powers ordering, subscriptions and vendor payments for all Amazon’s digital and subscription businesses including Prime, Amazon Video, Music, Alexa and Kindle. We process billions of digital transactions every year and enable our digital businesses to grow their businesses worldwide. We are seeking an experienced, results-driven economist to join our team and help build our next generation of digital solutions and offerings to delight Amazon customers.DCCS owns key customer facing experiences including content selection, subscriptions, pricing, availability, customer experience etc. The Economist will work with leaders Amazon to apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, 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.Economists will work closely with other research scientists, machine learning experts, and economists globally to design new frameworks that systematically identify low touch machine driven recommendations that propel customer growth while creating a meaningful economic impact for Amazon. Research science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our economists and scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.The key strategic objectives for this role include:-Provide data-driven guidance and recommendations on strategic initiatives- Working with senior leaders to identify opportunities/tests that drive product discovery, new customer acquisition to drive growth.-Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results.
US, MN, Minneapolis
Amazon Payments Services build systems that process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We process millions of transactions every day worldwide across various payment methods. Over 100 million customers and merchants send hundreds of billions of dollars moving at light-speed through our systems annually. We are growing a new team to innovate and provide a seamless payment experience to our customers across all platforms like mobile, web, voice etc.We are looking for a highly skilled, experienced, and motivated applied scientist to join our product security team. This team owns all aspects of security for the features in the next generation of Amazon's core payments platformAs a senior leader, you will· secure the design and implementation of the most critical systems within Amazon's core payments platform· solve security challenges at a massive scale in a security-first, infrastructure as code, 100% AWS environment· partner closely with our development teams to produce innovative and secure solutions,· proactively perform security assessments to prevent security vulnerabilities,· perform security testing before release,· conducting trainings and hackathons to raise developer awareness of security best practices,· be expected to be strong in multiple domains and will be sought out for advice on technical issues,· have excellent time management skills along with the ability to deliver results in the face of uncertainty, and· foster strong team culture.A successful candidate will be a deeply curious individual who brings technical and leadership expertise, and ability to work within a fast-paced startup culture in a large company that has broad business impact. This is a rare opportunity to get in on the ground floor and start on the Amazon Payments innovation as a security leader.
US, WA, Seattle
Amazon Alexa AI is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Understanding (NLU), Audio Signal Processing, text-to-speech (TTS), and Dialog Management, in order to provide the best-possible experience for our customers.As an Senior Applied Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
US, WA, Seattle
The Worldwide Defect Elimination (WWDE) organization in Customer Service drives Amazon towards a defect-free customer experience (CX) by building technology that rapidly identifies and remediates defects, associates them with the information required to resolve the root cause, and prioritizes multitude of improvement opportunities based on customer and business needs. Defect elimination is the upstream solution to achieve perfect CX. A defect when it occurs, causes customer frustration and makes it Amazon’s responsibility to offer appropriate remediation to earn the customer’s trust back leaving little to no margin for error. Finding the right balance between the Concessions offered to revive the CX, compliance to fiscal responsibility and increasing loyalty is a hard problem to solve requiring extensive qualitative analysis and complex computational science. The true goal of WWDE is to eliminate such defects. To achieve this, we must understand what our customers are saying. Our customer feedback is often in free form language and unstructured including Customer Service contacts, product reviews, and social media posts, requiring advanced engineering and science to derive insights. We are looking for a science leader to lead identification and attribution of defects as well as data driven optimization of remediation to earn the customer trust back. You will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will attract top talent, build and lead a high functioning science organization. In this role, you will partner with engineering, product and economist teams to build state of the art ML techniques to improve CX. You will experiment with massive data, work on challenging problems, implement and deploy your ideas at scale, and understand whether they succeed via statistically relevant experiments. You will foster an open and continuous learning environment where your team can pursue ambitious, long-term research, challenge assumptions, work on problems that haven’t been solved before, and publish research while delivering results
US, NY, New York
Amazon Advertising is looking for a motivated, analytical, self-starter to help pave the path for the next generation of insights and advertising products.You will take consumer insights, advertising effectiveness knowledge and business information needs of our advertising clients to envision new advertising products and tools. You will facilitate innovation on behalf of our customers through prototyping and delivering fully functional proof of concepts (POCs). You will partner with our engineering and platform teams to develop and scale successful POCs.This role requires strong hands-on skills in terms of effectively working with data and coding. However, the ideal candidate will also bring strong interpersonal and communication skills as the incumbent is expected to directly engage with advertising clients to validate the need and impact of prototypes, as well as to generally stay connected to insights needs of account teams and advertisers.This is a truly exciting and versatile position in that it allows you to apply and develop your hands-on data modelling and coding skills, to directly engage with stakeholders at major brands while at the same time offering opportunities to work with engineering teams to scale successful innovations.Specific Responsibilities· Create new analytical products from conception to prototyping. Scale the product through to production· Leverage Amazon's data to conduct research on consumer behaviour (in the context of media planning). Make findings available via publishing learning white papers· Communicate with clients to understand their needs· Represent the "voice of the customer", identify repeatable solutions that can be built to scale to serve more advertisers. Act as a liaison to product teams to help productize these solutions· Work closely with the Engineering team· Advocate and educate clients and internal teams on Amazon's ad platform products· Work closely with sales, retail and account management to make data-driven decisions around media planning and strategy· Utilize Amazon's marketing measurement and data platforms to help our advertisers understand the impact of their marketing investments with Amazon
US, NY, New York
Amazon’s Advertising Audience and Media Insights team is looking for a motivated and experienced Applied Scientist to deliver predictive models that will support actionable recommendations to optimize advertising campaigns. Our team owns the product, science, technology and deployment roadmap for advanced analytics and media planning products across our Insights and Performance Team. Analytics and media planning is core to Amazon’s growth, as it helps our suppliers drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.You will be counted on to help the expansion of our Media Insights Science program so our models enable our customers (i.e., advertisers) to achieve the best return on their advertising investment through recommending the best advertising package for their product. You are customer obsessed and have sharp business acumen to work side by side with Software Development Engineers and contribute to a roadmap that contributes to the success of our advertisers. You experiment, develop proof of concept, and ship software. You are an owner and are responsible for the day to day maintenance and evolution of systems that serve the needs of our large and growing base of advertisers. We are looking for contributors who can thrive in a startup environment, think big, can move fast, and wants to change the way customers use data to drive business success. If you excel at proposing and developing unique analytical insights and are passionate about creating the future, come join us as we work hard, have fun, and make history.You will:* Create new analytical products from conception to prototyping. Scale the product through to production* Identify and mitigate risks, work within project schedules, and prepare status reports.* Utilize Amazon's marketing measurement and data platforms to help our advertisers understand the impact of their marketing investments with Amazon* Contribute in a variety of ways from developing scientific models to leading technical discussions, recruiting, helping to refine processes, and so on.* Collaborate on product direction: You’ll build and maintain strong relationships between your team and partner disciplines (Product, Software Development, User Experience, QA) to ensure that we're focused on delivering the right product for customers.You are:* Pragmatic and iterative in developing models and building software: you have an ability to simplify and get things done quickly with a demonstrated track record of building and delivering software and working effectively with external and internal teams.* Highly analytical and data-driven: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.* Technically fearless: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries.* Comfortable with ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions to deliver value to customers.
US, WA, Seattle
Do you want to lead a team that builds new technology and science used by millions of people?The Devices Engagement Personalization Science team is looking for an Applied Science leader who has a solid background in applied Machine Learning, deep passion for building data-driven products, ability to communicate data insights and scientific vision, and has a proven track record of leading both applied and data scientists to execute complex projects and deliver high business impact.Personalized recommendations are a key feature for all Amazon tablets and we make it easier for customers to find the content that interests them. Examples include:· Our onboarding videos and content suggestions are personalized for each customer.· We suggest a set of videos, books, and apps for our users that are tailored for their specific interests.· Our special offers and marketing campaigns are personalized.In this role, you will:· Lead a team of talented applied scientists and data scientists to deliver production level, customer facing ML solutions that empower our software to make the best set of suggestions.· Work closely with product and technology leaders across Amazon.· Develop a science roadmap and collaborate with stakeholders.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Hire and develop top talent and provide technical/career development guidance to both scientists and engineers in the organization.Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
US, MA, North Reading
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.POSITION OVERVIEWThe Technical Operations Manufacturing team at Amazon Robotics is looking for an experienced, results-oriented Data Scientist to solve difficult problems in manufacturing. The data ranges from mechanical dimensional data to results of complex electromechanical tests, with a little bit of everything in between. Our team is looking for a data scientist to derive insights from this data and communicate the results though white papers, presentations, and production ready models. This role will interface with engineers in software, hardware test, manufacturing, and design. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization in a combined team of software engineering and data science.A successful candidate should have a background in business analytics, data science, and data visualization. We are looking for jack-of-all-trades that is able to select and use the right tools to bring clarity to complex questions and help drive decisions. While we don’t assume mastery in all areas, successful team members can speak and work competently in multiple domains.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on manufacturing failures.· Optimizing identification of defective product to improve our customer satisfaction.· Drive actions at scale to improve manufacturing yields using scientifically-based methods and decision-making.· Helping to build production systems that take inputs from multiple models and make decisions in real-time.· Automating feedback loops for algorithms in production.· Utilizing Amazon systems and tools to effectively work with terabytes of data.
US, WA, Seattle
Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is used daily by a massive audience on Amazon's websites and through a variety of devices including the Kindle Fire, game consoles, smart TVs and Blu-ray players. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. Movies range from new releases to classic favorites, and Prime Video offers major television episodes, entire seasons, or even day after air TV.The Prime Video Content Analytics team uses machine learning, econometrics, and data science to optimize Amazon’s streaming-video catalogue, driving customer engagement and Prime member acquisition. We generate insights to guide Amazon’s digital-video strategy, and we provide direct support to the content-acquisition process. We use detailed customer behavioral data (e.g. streaming history) and detailed information about content (e.g. IMDb-sourced characteristics) to predict and understand what customers like to watch.We are looking for an applied scientist to build innovative systems for measuring the impact of engagement with Prime Video content. Key responsibilities of Prime Video data scientists include the following:· Optimizing the digital video catalog to improve customer experience and grow the Amazon business.· Improving model usability by analyzing customer behavior and by gathering requirements from business owners and other tech teams. Incorporating new data sources and implementing creative methodology innovations to improve model performance.· Creating and tracking accuracy and performance metrics.· Helping build production systems that take inputs from multiple models and support decision making.
US, WA, Seattle
The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. Do you want to join a team of scientists who use computer vision and machine learning to keep Amazon at the frontiers of AI? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to 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 our Research group.Technical Responsibilities:· Lead the development and implementation of computer vision and machine learning models and algorithms· Applies advanced mathematical theory, statistical analysis and machine learning techniques to improve existing approaches and designs.· Designs solutions for complex business problems while keeping a company-wide perspective using quantitative methods· Executes highly complex projects and plays a role in key aspects of a strategic project.· Establishing efficient, automated processes for large data analyses, model development, model validation and model implementation.· Plan, design, execute and measure controlled experiments to understand impact of our actionsLeadership Responsibilities:· Understand high-level business objectives and continually align work with those objectives to meet needs of business (ROI, cost-benefit analysis).· Manage, mentor and coach researchers· Effectively advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers.· Design strategies for effective use of model output.· Maintain a culture of innovation via rapid prototyping and research to leverage new data sources and techniques.· Leads report-writing efforts to communicate analysis and proposed solutions to stakeholders.