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Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.

Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please bookmark this site and come back regularly to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. You can also follow us on Twitter, Facebook, LinkedIn and Instagram to stay up to date.

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Data Scientist II
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 a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. The Prime Video Economist team works on disruptive ideas in the Prime Video space.We are looking for a truly innovative Data Scientist to work on disruptive ideas within the Prime Video space. Examples of problem spaces you may be working on include video product pricing, ecosystem effects (how streaming affects rentals or purchases), and forecasting demand for new content on the platform. We also work on complex questions beyond video, for example how customers use and transition between Video and other digital products (e.g. Music or E-books/Audiobooks).In this role, you will build models that measure and predict the value that the business creates (or the value of new opportunities) for our customers. This role requires a team member with strong quantitative modeling skills and the ability to apply statistical/machine learning methods to large amount of individual level and title level data. 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.On our team you will work with a diverse scientific team including engineers and economists as well as other data scientist to build statistical models using world-class data systems and partner directly with the business to implement the solutions.
Applied Scientist
US, WA, Bellevue
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. The team is using computer vision, machine learning, 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.In this role, you will work closely with other researchers in the team to research, design, and deliver science components powering computer vision and active learning algorithms to cost-effectively create very large-scale training datasets for various compute vision/robotics applications. You will have the unique opportunity to work on multiple popular Computer Vision tasks altogether, therefore, embrace the great potential to innovate more. You will also be working on developing new algorithms to improve deep learning models including reducing the sample complexity, improving generalization ability, boost model robustness, etc. You will be a critical science contributor and can create a significant business impact to the company. This opportunity requires excellent technical, problem-solving, and communication skills. An ideal candidate will have a high teamwork mentality coupled with a strong bias for action yet always insisting on the highest standards.
Applied Scientist - Alexa Personal Mobility
US, CA, Santa Clara
The Alexa Personal Mobility team provides voice experiences such as directions/navigation to Points of Interest (POIs) and addresses, daily commute information including delays, incidents, and expected time of arrival, and searching and finding establishments for Alexa’s customers via the Echo Auto and directly integrated with the car, as well as in the Echo and Echo Show devices.As an 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 and search. 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.Additional responsibilities include:- Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience- Run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders- Apply machine learning and data mining techniques to improve our conversational interfaces and search algorithms- Work closely with product managers and software engineers to design experiments and implement end-to-end solutions- Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them- Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences- Help attract and recruit technical talent
Senior Research Scientist - Spoken Language Understanding (m/f)
DE, NW, Aachen
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!Amazon is looking for passionate, talented, and inventive Scientists to help build world-leading Speech and Language technology. Our mission is to create a delightful experience to Amazon’s customers by advancing the state-of-the art in Natural Language Understanding (NLU) and Machine Learning (ML).As part of our speech and language team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to build and advance state-of-the-art spoken language understanding systems. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands-on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in different areas of spoken language understanding, including but not limited to natural language understanding, intent classification, named entity recognition, dialog systems, text classification, machine translation, language modeling, finite state methods, etc. We will also consider candidates without explicit prior experience in these fields, if they are strong in machine learning, statistics, and coding, are eager to learn and have a "can do" attitude.As a Senior Research Scientist on our team, you will build, extend and optimize cutting-edge spoken language understanding systems and conduct core research aimed at advancing the state of the art. This involves:· Researching the latest modeling techniques. Understanding trade-offs between competing approaches, and identifying the ones that are likely to have real impact on our customers.· Implementing and improving modeling tools, training recipes and prototypes utilizing programming skills in Python, Java and/or C++.· Conducting experiments to assess the quality of speech recognition and natural language processing models and to study the effectiveness of different modeling techniques.· Analyzing field data in order to identify areas of possible improvement or enhancement of the system.· Presenting and discussing ideas and results within the team and with internal stakeholders.· Providing technical guidance to other team members, and participation in strategic planning and project management for technical initiatives.------------------------------KDL-EU | speech-jobs------------------------------Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.
Sustainability Science Researcher
US, WA, Seattle
Amazon’s Sustainability organization points Amazon’s innovative culture at environmental and social impacts with enormous scale. We consider the full lifecycle of our impact, from supply chain to customer experience, operational efficiency to waste diversion. We take action to improve the impact Amazon has on the environment, looking for wins that are good for our customers and our business as well. Sustainability Science and Innovation is a team of environmental and social research scientists and product managers answering core sustainability questions for the larger organization and working across the company to develop solutions to long term environmental and social hotspots.The Role:A Research Scientist at Amazon applies data science, subject matter expertise, and business acumen to deliver results at scale. As a Research Scientist, you will be responsible for conducting assessments of environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life. The ideal candidate will have industry experience conducting life cycle assessments (LCAs) of products and services, and detailed knowledge of manufacturing, design, development, and/or sourcing. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The candidate should have familiarity with LCA methods and applications. The successful candidate will work under the direction of senior business leaders, but will act as a Subject Matter Expert, leading research and building data analytics and models at scale. Amazon’s culture encourages innovation, and the candidate should be comfortable working in cold start scenarios in order to push the envelope on the hard to solve environmental and social issues.Key Responsibilities:· Manage sustainability-related research projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting;· Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time critical questions from multiple business teams;· Professionally communicate to senior business leaders.· Work closely with software engineering teams to drive real-time model implementations and new feature creations.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
Sustainability Science Researcher
US, WA, Seattle
Amazon’s Sustainability organization points Amazon’s innovative culture at environmental and social impacts with enormous scale. We consider the full lifecycle of our impact, from supply chain to customer experience, operational efficiency to waste diversion. We take action to improve the impact Amazon has on the environment, looking for wins that are good for our customers and our business as well. Sustainability Science and Innovation is a team of environmental and social research scientists and product managers answering core sustainability questions for the larger organization and working across the company to develop solutions to long term environmental and social hotspots.The Role:A Research Scientist at Amazon applies data science, subject matter expertise, and business acumen to deliver results at scale. As a Research Scientist, you will be responsible for conducting assessments of environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life. The ideal candidate will have industry experience conducting life cycle assessments (LCAs) of products and services, and detailed knowledge of manufacturing, design, development, and/or sourcing. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The candidate should have familiarity with LCA methods and applications. The successful candidate will work under the direction of senior business leaders, but will act as a Subject Matter Expert, leading research and building data analytics and models at scale. Amazon’s culture encourages innovation, and the candidate should be comfortable working in cold start scenarios in order to push the envelope on the hard to solve environmental and social issues.Key Responsibilities:· Manage sustainability-related research projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting;· Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time critical questions from multiple business teams;· Professionally communicate to senior business leaders.· Work closely with software engineering teams to drive real-time model implementations and new feature creations.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
Sustainability Science Researcher
US, WA, Seattle
Amazon’s Sustainability organization points Amazon’s innovative culture at environmental and social impacts with enormous scale. We consider the full lifecycle of our impact, from supply chain to customer experience, operational efficiency to waste diversion. We take action to improve the impact Amazon has on the environment, looking for wins that are good for our customers and our business as well. Sustainability Science and Innovation is a team of environmental and social research scientists and product managers answering core sustainability questions for the larger organization and working across the company to develop solutions to long term environmental and social hotspots.The Role:A Research Scientist at Amazon applies data science, subject matter expertise, and business acumen to deliver results at scale. As a Research Scientist, you will be responsible for conducting assessments of environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life. The ideal candidate will have industry experience conducting life cycle assessments (LCAs) of products and services, and detailed knowledge of manufacturing, design, development, and/or sourcing. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders.The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The candidate should have familiarity with LCA methods and applications. The successful candidate will work under the direction of senior business leaders, but will act as a Subject Matter Expert, leading research and building data analytics and models at scale. Amazon’s culture encourages innovation, and the candidate should be comfortable working in cold start scenarios in order to push the envelope on the hard to solve environmental and social issues.Key Responsibilities:· Manage sustainability-related research projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting;· Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.· Respond to time critical questions from multiple business teams;· Professionally communicate to senior business leaders.· Work closely with software engineering teams to drive real-time model implementations and new feature creations.· Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.
Data Scientist II - Sponsored Products Advertising
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 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 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. The Sponsored Product Targeting Optimization and Recommendations team builds solutions that are directly used by thousands of Sponsored Product advertisers, enabling them to effectively define the intent of their advertising campaigns and optimizing this intent on their behalf to maximize performance. We achieve this a) building recommendation systems that provide suggestions for keywords, product attributes, bids and budgets and b) building ML and online optimization systems that optimize these controls on the advertiser’s behalf billions of times a day. We are seeking a Data Scientist to join the team to help define and build our next generation recommendation and optimization solutions for Sponsored Product advertisers. As a Data Scientist in the team you will be responsible for defining measures of success for recommendation and optimization algorithms, producing insights into the quality of these algorithms, evaluating new optimization algorithms, and designing and evaluating large scale A/B tests.In this role you will:• Perform hands-on data analysis and modeling with very large data sets to develop insights into different aspects of our business (shopper experience, advertiser experience, marketplace dynamics)• Define and build tools and processes to monitor these metrics (weekly business reviews, dashboards, automated alarming)• Use data to identify opportunities to improve our systems.• Work with scientists and engineers to model complex interactions in our systems• Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences
Sr. Applied Scientist
US, WA, Seattle
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. As a Senior Applied scientist in Machine Learning, you will be working with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams.The ideal candidate is a strong, creative and highly-motivated Machine Learning Scientist with hands-on experience in leading multiple research and engineering initiatives. You can balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You strive for simplicity, and demonstrate significant creativity and high judgment backed by sound statistical reasoning and robust machine learning models. You do independent research and develop non-trivial Machine Learning solutions for identifying & promoting products/services that increase customer satisfaction with Amazon. Translate and scope broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective, identify and process data to analyze and build predictive models. Invent new algorithms and techniques for business problems and file patents for the new ideas. You mentor and lead scientists and engineers to build scalable and efficient solutions for customer problems. Duties will also include; prototype solutions and validate for proof of concept; scope and design software architectures for translating prototype into production software; implement scalable automated pipelines to production; work across business stakeholders and data owners to coordinate deep-dives, inform roadmaps, visualize metrics to help the business stakeholders make decisions that best serve our customers.Come join our team, have fun, and make history.Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Community Shopping Science Manager
DE, BE, Berlin
Customer Reviews, Deals and Content Moderation are community driven experiences that are key to the Amazon experience worldwide. Join the applied research team in Berlin, Germany supporting Community Shopping and driving the customer experience for these important programs.The problems are real, with tangible customer impact. The work sits at the intersection of research and engineering, driving better quality in our reviews corpus, ensuring appropriate content across customer-submitted text, images and video at massive scale, and ensuring that the right deals surface for the right customer at the right time. The applications are wide and range from Generic ML to NLP and Computer Vision.We are an applied research group in Berlin, Germany creating novel solutions in collaboration with product and engineering teams at the core of some of Amazon’s biggest and most engaged systems. If that sounds interesting for you and if you would like to live in one of the most exciting places of the world, then we have the perfect role for you. We have open Applied Scientist Manager position and this is what we are looking for:Major Responsibilities· Build and manage a team of 5-7 applied scientists· Design, implement and evaluate ML models· Work on large-scale datasets, creating scalable, robust and accurate ML based systems· Collaborate closely with engineers to drive systems from prototyping to production level· Collaborate with teams spread all around the world
Sr. Applied Scientist
US, WA, Seattle
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. As a Senior Applied scientist in Machine Learning, you will be working with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams.The ideal candidate is a strong, creative and highly-motivated Machine Learning Scientist with hands-on experience in leading multiple research and engineering initiatives. You can balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You strive for simplicity, and demonstrate significant creativity and high judgment backed by sound statistical reasoning and robust machine learning models. You do independent research and develop non-trivial Machine Learning solutions for identifying & promoting products/services that increase customer satisfaction with Amazon. Translate and scope broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective, identify and process data to analyze and build predictive models. Invent new algorithms and techniques for business problems and file patents for the new ideas. You mentor and lead scientists and engineers to build scalable and efficient solutions for customer problems. Duties will also include; prototype solutions and validate for proof of concept; scope and design software architectures for translating prototype into production software; implement scalable automated pipelines to production; work across business stakeholders and data owners to coordinate deep-dives, inform roadmaps, visualize metrics to help the business stakeholders make decisions that best serve our customers.Come join our team, have fun, and make history.Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Economist
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 sophisticated and friendly work environment.An Economist in Customer Service at Amazon will work directly with senior management on developing models to evaluate Customer Service policies to continue Amazon's mission of being the most customer-centric company. 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.
Applied Science Manager - Alexa AI-Natural Language Understanding
US, WA, Seattle
Alexa Machine Learning is looking for an experienced science leader to head a team of talented and passionate applied scientists. A successful candidate will have strong foundations in mathematics, statistics and machine learning with exceptional communication and leadership skills, and a proven track record of delivery under tight deadlines. Hands-on experience with large-scale, state-of-the-art automatic speech recognition, natural language understanding or other natural language processing systems is a plus.As an Applied Science Manager, you will lead a team of exceptional scientists 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.
Data Scientist, WW Ops Analytics
US, WA, Seattle
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon's Operations?Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon Operations, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs. It also comes with the largest repository of supply chain data to exist that’s growing by billions of data points by the minute.Here in WW Ops Analytics our data scientists raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:· Leveraging the largest repository of supply chain data to ever exist to develop new statistical, simulation, and machine learning techniques to drive prudent/compliant spending, forecast costs, revenues, and other operations metrics.· Working with technical and non-technical customers across every step of data science project life cycle.· Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.
Senior Research Scientist
US, NY, New York
Amazon’s Advertising Analytics and Insights (A&I) team is looking for a motivated and experienced Senior Research Scientist to pioneer new ways to analyze the needs, experiences, and behaviors of Amazon consumers at petabyte scale. We are a startup within one of the fastest growing and most strategic parts of Amazon. Analytics & Insights owns the product, technology and deployment roadmap for advanced analytics and insights products across our advertiser success team. Advertiser success 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.Marketers are looking for ways to better understand consumer needs and behaviors. Understanding the “consumer journey” helps marketers cater to consumer needs and optimize their advertising spending, increasing the value of advertising for both advertisers and consumers. In this role, you will take a leading role in defining the problem and our approach to the solution. You will join a new and growing team of top-notch technical professionals working to develop and evaluate new advertising metrics based on petabytes of data. You will innovate on behalf of our customers by prototyping metric implementations and partnering with our engineers to productize and scale them. If you are passionate about creating the future, come join us as we work hard, have fun, and make history.
Data Scientist
US, WA, Seattle
Alexa is the groundbreaking, cloud-based intelligent agent that powers Fire TV with your voice. The Alexa on Fire TV team is building the science and technology behind Alexa. Come join us! Our goal is to delight our customers by adding new features to Alexa on Fire TV and by improving the accuracy of our existing speech recognition and natural language processing systems.As a Data Scientist, you will be responsible for the natural language understanding models for Fire TV use cases. 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 lead high visibility and high impact programs collaborating with various teams across Amazon. You will work with a team of Language Engineers and Scientists to launch new customer facing features and improve the current features.You will:· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.· · Clean, analyze and select data to achieve goals· · Build and release models that elevate the customer experience and track impact over time· · Collaborate with colleagues from science, engineering and business backgrounds· · Present proposals and results in a clear manner backed by data and coupled with actionable conclusions· · Work with engineers to develop efficient data querying infrastructure for both offline and online use cases
Applied Scientist - AWS AI
US, CA, East Palo Alto
Amazon AI is looking for world class scientists and engineers to join its TensorFlow team. As part of TensorFlow team, you will be resonsible for developing state-of-the-art Machine Learning, Natural Language Processing, Deep Learning and Computer Vision algorithms and designs using large data sets to solve real world problems. As an Applied Scientist, 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.
Senior Applied Scientist, Alexa Experiences
US, WA, Seattle
Voice-driven AI experiences are finally becoming a reality and Amazon’s Alexa voice cloud service and Echo devices are at the forefront of this latest technology wave. We deliver world-class products on aggressive schedules that are used every day, by people you know, in and about their homes. At the same time, we obsess about customer trust and ensure that we build products in a manner that maintains our high bar for customer privacy. We are looking for a passionate and talented Applied Scientist with experience in delivering production systems based on innovative research. This is a unique opportunity to play a key role in an exciting, fast growing business. You will be working on one of the world's most cutting edge customer experience and technology. You'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally.You are the ideal candidate if you are clearly passionate about delivering experiences that delight customers and creating solutions that are robust. You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You enjoy and succeed in fast paced environments where learning new concepts quickly is a must. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems to creating reliable, scalable, and high performance products. Your strong communication skills enable you to work effectively with both business and technical partners.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history.
Senior Data Scientist - Community Trust
US, WA, Seattle
Have you ever looked at the comments section of a website and wondered how many of the commenters are bots? Have you ever thought about buying a 5-star rated item but hesitated because the reviews didn’t look quite right? Do you get angry when people game the system to get an unfair advantage? If you’re interested in solving these sorts of problems, the Community Trust team could be a great fit.We own upholding trust in Amazon's Community features. These include Reviews, Questions & Answers, and other experiences where shoppers contribute content. We're solving abuse detection at scale, building rules and ML models to ensure contributions meet guidelines, and ensuring that other teams in the company with similar needs benefit from our expertise.Our team includes engineers, PMs, research scientists and business intelligence engineers. We're looking for a data scientist to join us to help design models to detect abuse.We're a diverse team passionate about operational excellence and high quality code. We value transparency, empowerment, experimentation, and appreciation. We are free from the heavy operational burden that is associated with other teams, and are able to iterate in a low stress environment. Our solutions influence the products and plans of multiple internal teams, and we design and build systems that improve the experience of millions of customers.
Sr. Applied Scientist
US, WA, Seattle
At Amazon, we strive every day to be Earth’s most customer centric company. Do you want to join an innovative team who uses machine learning, statistical and advanced analytical techniques to keep Amazon the safest and most trusted place to shop online? Are you interested in guiding key business decisions that help manage the trust and safety of millions of products and transactions every day?Amazon perfect order experience team is looking for an Applied Scientist to build efficient, flexible, and scalable analytics and machine learning solutions. In this role, you will have the end-to-end ownership of ML applications. You will work closely with brilliant scientists, economists and engineers in the team to build ML models, engineering pipelines and science applications, which have direct impacts on Amazon's Customers and Selling Partners. You will play an important role in leading the science innovation and contributing to critical design decisions. You will apply techniques such as graph modeling, natural language processing, and deep learning to ensure that Customers receive authentic products in the condition and with the functionality they expect, and quickly making things right when they don’t.
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