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Applied Scientist - Computer Vision
US, WA, Seattle
On the Fulfillment AI Team we work on a variety of problems within our Amazon Fulfillment Centers. We operate at a nexus of machine learning, computer vision, robotics, and healthy measure of hard-earned expertise in operations to build automated, algorithmic approaches to solving these problems. We create cutting edge software, building automated processes and workflows in the most complex operational problem space in the business world. Our solutions drive new system capabilities with global impact.Major responsibilities: As a Computer Vision Applied Scientist, you will be working in one of the world's largest and most complex environments for computer vision applications. You should have deep expertise in harnessing massive data sets from sensors operating "in the wild". You should be an expert at designing and implementing solutions that use a range of techniques and methodologies to solve complex business problems at scale. You will design prototype models based on data gathered directly from operational sites and partner with software engineering teams to deploy those models to production. You will deep dive ML training data and feature sets to drive improvements. You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers, and business leaders to identify solutions to large problems in Amazon Operations.Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will developing complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development.The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multidisciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and 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 reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which 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 offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
Applied Scientist - Computer Vision
US, WA, Seattle
On the Fulfillment AI Team we work on a variety of problems within our Amazon Fulfillment Centers. We operate at a nexus of machine learning, computer vision, robotics, and healthy measure of hard-earned expertise in operations to build automated, algorithmic approaches to solving these problems. We create cutting edge software, building automated processes and workflows in the most complex operational problem space in the business world. Our solutions drive new system capabilities with global impact.Major responsibilities: As a Computer Vision Applied Scientist, you will be working in one of the world's largest and most complex environments for computer vision applications. You should have deep expertise in harnessing massive data sets from sensors operating "in the wild". You should be an expert at designing and implementing solutions that use a range of techniques and methodologies to solve complex business problems at scale. You will design prototype models based on data gathered directly from operational sites and partner with software engineering teams to deploy those models to production. You will deep dive ML training data and feature sets to drive improvements. You will partner with Research and Applied Scientists, SDEs, Technical Program Managers, Product Managers, and business leaders to identify solutions to large problems in Amazon Operations.Your solutions will drive new system capabilities with global impact. You will design highly scalable, large enterprise software solutions involving computer vision. You will developing complex perception algorithms integrating across multiple sensing devices. You will develop metrics to quantify the benefits of a solution and influence project resources. You will validate system performance and use insights from your live models to drive the next generation of model development.The ideal candidate will have deep and broad experience with theoretical approaches and practical implementations of vision techniques for task automation. They will be a motivated self-starter who can thrive in a fast paced environment. They will be passionate about staying current with sensing technologies and algorithms in the broader machine vision industry. They will enjoy working in a multidisciplinary team of engineers, scientists and business leaders. They will seek to understand processes behind data so their recommendations are grounded.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and 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 reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which 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 offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
Applied Scientist
US, WA, Seattle
Ever wonder how you can keep the world’s largest selection also the world’s safest and legally compliant selection? Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations.The Classification and Policy Platform team is looking for outstanding Applied Scientists to build technology to automatically monitor the billions of products on the Amazon platform. The software and processes built by this team are a critical component of building a catalog that our customers trust.You will have an opportunity to work with cutting edge machine learning algorithms on large datasets. You will need to build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. As an Applied Scientist on the CPP team, you will be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.Responsibilities include:· Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve classification, matching, ranking and anomaly detection problems, including filtering, new content indexing, and apply document understanding· Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential· Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Providing technical and scientific guidance to your team members· Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds· Being a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customersThe successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, a start-up mentality, excellent project management skills, and great communication skills.
Manager, Machine Learning Solutions Lab
US, CA, Santa Monica
Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The ML team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in the ML Solutions Lab team, you'll partner with technology and business teams to build new solutions that delight our customers. You will be responsible for leading a team of data/research/applied scientists, deep learning architects, and ML engineers to build machine learning and deep learning models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. You will do all that while yourself maintaining an active personal engagement in the same kind of work at the same kind of high level that you expect from your team.The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.The primary responsibilities of this position are to:· Interact with customers directly to understand the business problem· Lead a team of scientists and engineers, oversee development and research projects at various stages ranging from initial exploration to fully functional and scalable solutions.· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.· Work closely with account teams, science teams and product engineering teams to drive model implementations· Drive new business and product initiatives, championing ideas that move our business forward· Employ a data driven approach to ensuring the success and outcomes of our ML engagementsInclusive Team CultureAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Applied Scientist
US, WA, Seattle
Come join Amazon Halo's Computer Vision and Machine Learning Science team!We are looking for an Applied Scientist passionate about improving customers’ health and wellness to join our growing CVML science team.As an Applied Scientist, you will be a member of an algorithm team responsible for the end-end delivery of CVML-based algorithms.Job responsibilities· Research, develop, implement and evaluate novel CVML algorithms· Work on large-scale datasets, focusing on creating scalable and accurate CVML systems in versatile application fields· Design data collection experiments, perform statistical analysis and deliver ML models.· 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· Track general business activity and provide clear, compelling management reports on a regular basisAmazon 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.
Research Scientist
US, WA, Seattle
Interested in applying machine learning to make a real world impact to customers and business? Let's chat!Amazon’s Automated Marketing team is building the Internet's largest-scale Search and Social Marketing systems. Our Applied Machine learning team is responsible for a number of algorithms that automatically generate, target, measure, and optimize tens of millions of search engine and social media ad placements that drive a significant portion of Amazon's business. We build end-to-end solutions ranging from sourcing ad contents, optimizing the right Shopping experiences upon Ad-click and Valuation and bidding strategies using techniques from machine learning, natural language processing, statistics and numerical optimization. We also focus on developing novel A/B experimentation mechanisms to measure efficacy of our ML solutions.You will go home and show your family and friends why they receive this ad on Google/Facebook or that email from Amazon. You will make a difference by improving the relevancy for customers and optimizing the investment level for Amazon. You will work with diverse teams and channels. You will work on a myriad of interesting and challenging problems in marketing and advertising, where you get an opportunity to hone your expertise in deep learning, supervised and unsupervised machine learning techniques, natural language processing, statistics and numerical optimization to make a real impact to the world. You will work on solving challenging problems at the intersection of e-commerce and internet advertising, while gaining knowledge about the ever dynamic and evolving digital marketing landscape.As a Research Scientist, you will be tasked with leading scientific innovations in measurement and optimization, that enable us to deliver relevant and performant advertising experiences to customers. As a trusted science leader you will get the opportunity to mentor and develop talent within the team while solving some of the most challenging science and business intelligence problems. You will need to invent elegant metrics and associated measurement models, and develop algorithms that help us test and learn the impact of Marketing strategies across channels to maximize long term profit for Amazon while ensuring a great customer experience.We are a team of scientists with engineering expertise. You will extract, analyze and transform large scale data for modeling. You will research and implement machine learning models to solve the optimization problems. You will collaborate with partner teams to understand the current systems and data sources, or propose new system or data collection improvements. You will communicate findings and results to leadership. You will help shaping and driving the roadmap for the organization.If you've read this far, apply now!
ES Tech, Data Scientist
US, VA, Arlington
Amazon's Employee Services Technology team seeks a data scientist with strong analytical and communication skills to support our goal of becoming the most scientific HR organization in the world. The team is responsible for developing scientific solutions to increase the efficiency and quality of services provided to Amazon’s growing workforce. This includes identifying anomalies in experience metrics, analyzing the causal impact of new events and policies on our services, and building automated solutions using state of the art statistical and machine learning techniques. As part of this team, you will work with Applied Scientists, Economists, and Engineers to constantly innovate on behalf of our employees.We are looking for motivated data scientists with strong analytical skills who desire to work at the intersection of economics, machine learning and operations research. As a Data Scientist I, Risk Mining, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and improve employee experiences.You will solve complex problems and partner with other scientists and stakeholders to design the next generation of algorithms to drive the optimization of Amazon’s Employee Services. The candidate should be able to apply a breadth of tools, data sources, and Data Science techniques to answer a wide range of business questions and proactively present new insights in concise and effective manner.The candidate should be an effective communicator capable of driving issues to resolution with guidance and communicating insights to the team. Responsibilities include:· Analyze data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science· Build Machine Learning and/or statistical models that assess risk and anomalies and track impact over time· Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping· Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams· Develop efficient data querying infrastructure for both offline and online use cases· Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes· Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.· Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
Sr. Mgr., Applied Science
US, WA, Bellevue
We are building a first of its kind system to optimize several diverse voice and visual experiences spanning Amazon Echo products. Our solutions are solving key challenges in how customers learn about and interact with voice-first devices, and enable customers to get the most out of our products.A day in the lifeAs a Sr. Manager, Applied Science, you will work on problems spanning dialog systems, personalization, contextual bandits, recommender systems, and reinforcement learning, developing novel solutions using large-scale real-world datasets. You will develop innovative solutions that enable Alexa to learn from past customer interactions to drive future engagement and utility. You are responsible for setting the research roadmap for a team of applied and research scientists, and develop models and approaches that touch key customers experiences for Amazon Alexa customers. You have the ability to influence the long-term direction of the Alexa voice experience.About the hiring groupThis is a rare and exciting opportunity to be a trailblazer at the intersection of cutting edge science and engineering to build ML-based products that impact the lives of millions of customers. You will be responsible for defining critical research questions, developing innovative solutions to large-scale business problems, publishing results, and working with engineering teams to evaluate and deploy these solutions. You will be a strategic leader contributing to software architecture design, long term product strategies, and business goal definition and prioritization.Job responsibilitiesHelp us shape the future of Alexa where it not only responds to requests you make but also proactively anticipates what you might need next and informs you of it at the right moment. We are looking for a seasoned science leader to lead of team of applied scientists, research scientists, and language engineers to optimize several diverse voice and visual experiences across Amazon Echo products. As part of the Alexa Experience science team, you will be solving key challenges in how customers learn about and interact with voice assistants, and enable customers to get the most out of our products.You will lead a team of scientists who will work on problems spanning dialog systems, personalization, contextual bandits, recommender systems, and reinforcement learning, developing novel solutions using large-scale real-world datasets. You will partner closely with engineering and product teams to build, evaluate, and deliver your solutions. You will develop innovative solutions that enable Alexa to learn from past customer interactions to drive future engagement and utility. You are responsible for leading and setting the research and development roadmap for a team of applied and research scientists, and develop models and approaches that touch key customers experiences for Amazon Alexa customers. You have the ability to influence the long-term direction of the Alexa voice experience, and will be a strategic leader contributing to software architecture design, long term product strategies, and business goal definition and prioritization.As Senior Manager, Applied Science you will:Lead a team of scientists and analysts in the design, development, test, deployment and operation of machine learning models.Contribute directly to our growth by hiring smart and motivated scientists and software developers that can apply state of the art machine learning algorithms to deliver innovative features for our customers.Be responsible for ensuring sanity of algorithms, architecture, operational excellence and quality, delivering results on time.Work closely with other teams across Amazon to deliver platform features that require cross-team leadership.Mentor and lead as a manager with a direct handle on the pulse of each employee on your team.Regularly dive into learning algorithms, evaluation metrics, model architecture, code, test plans, project plans, deployments and operations to drive excellence through your organization.Represent your business and operations to senior leaders within Amazon.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Applied Scientist II - AMZ5821
US, MA, Cambridge
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Applied Scientist IILocation: Cambridge, MAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Applied Scientist
US, WA, Seattle
Come join Amazon Halo's Computer Vision and Machine Learning Science team!We are looking for an Applied Scientist passionate about improving customers’ health and wellness to join our growing CVML science team.As an Applied Scientist, you will be a member of an algorithm team responsible for the end-end delivery of CVML-based algorithms.Job responsibilities· Research, develop, implement and evaluate novel CVML algorithms· Work on large-scale datasets, focusing on creating scalable and accurate CVML systems in versatile application fields· Design data collection experiments, perform statistical analysis and deliver ML models.· 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· Track general business activity and provide clear, compelling management reports on a regular basisAmazon 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.
Senior Applied Scientist
US, CA, Irvine
Take the earth's most customer-centric company. Mix in millions ofshoppers spending billions of dollars annually and an opportunity to useyour skills in machine learning and data mining to improve productrecommendations and search. What do you get? The best job in theinternet today - PERIOD.The charter of Amazon’s Personalization team is to recommend the “right" product to the “right" customer at the “right" time. We generatepersonalized product recommendations for millions of customers each day, in a blink of an eye, thousands of times a second.If you are a strong software engineer with a background in MachineLearning, who is passionate about turning massive amounts of data intoactionable insights, then this is the right opportunity for you.You will work with a team of highly skilled and motivated scientists andengineers, who are building the next generation of personalizationproducts at Amazon. Our team advances the state-of-the-art inpersonalization by using machine learning, and leveraging Amazon’s vast computing resources (AWS) and data. As part of your job, you will deal with large amounts of training data, rapidly prototype new models that meet stringent performance requirements, and perform offline and online testing.Major responsibilities:- Research and use of statistical techniques to create scalablesolutions for business problems- Analyze and extract relevant information from large amounts ofAmazon's historical business data to help automate and optimize keyfeatures and processes- Work closely with scientists and engineering teams to create anddeploy new features- Work closely with stakeholders to optimize various business operations- Establish scalable, efficient, automated processes for large scaledata analyses, model development, validation and implementation.- Track general business activity and provide clear, compellingmanagement reporting on a regular basisBy submitting your application here, you can apply once to be considered for multiple Software Engineering openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.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/usAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual OrientationBy submitting your application here, you can apply once to be considered for multiple Software Engineering openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.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/usAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Data Scientist II
US, WA, Seattle
Amazon Business (www.amazon.com/business) is an online store that combines the selection, convenience and value customers have come to know and love from Amazon, with new features and unique benefits tailored to the needs of businesses. Amazon Business provides easy access to hundreds of millions of products – everything from IT and lab equipment to education and food-service supplies. Amazon Business customers also enjoy a variety of benefits, including business-only pricing and selection, a multi-seller marketplace, single- or multi-user business accounts, approval workflow, purchasing system integrations, payment solutions, tax exemptions, dedicated customer support, Business Prime and more.Business Prime is a paid subscription service for verified business, charity or government organizations that provides the familiar Prime shopping experience end users love at home, with pricing plans and benefits that are suited for work. Business Prime now serves over a million employees in organizations throughout the world. Our customers range from government entities with tens of thousands of users to sole proprietors.The Business Prime team is looking for an experienced and motivated Data Scientist to generate data-driven insights influencing the Business Prime direction, build the necessary predictive models, optimization algorithms and customer behavioral segments allowing us to discover and expand the value proposition of Business Prime to the customers. Specific responsibilities include:- Customer lifecycle analysis improving targeting, customer identification, and spend behavior.- Data driven insights to accelerate acquisition of new members.- Grow benefits adoption based on customer segment, vertical, and drive customers to their "aha moment".- Predict customers at risk of churn and declining engagement.- Identify ineligible accounts including fraud, abuse, and other undesired behaviors.- Experiments to enhance membership value for B2B customers.In this role, you will be a technical expert with significant scope and impact. You will work with Business Intelligence Engineers, Financial Analysts, Product Managers, Software Engineers, Data Engineers, and other Data Scientists, to build new and enhance existing ML models to optimize customer experience. The successful Data Scientist will have extreme bias for action needed in a startup environment, with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.
Sr. Economist
US, WA, Seattle
Amazon strives to be Earth's most customer-centric company. To achieve this, we hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists for Amazon will be expected to work directly with senior management on key business problems faced in retail and marketing. The role allows you to influence company-wide strategy by applying the frontier of economic thinking to forecasting, program evaluation, customer behavior and other areas. Economists at Amazon will be expected to develop new techniques to process large data sets, use econometric models and methods to address complex problems, design and test hypothesis on customer pain points and key growth ideas and contribute to design of automated systems around the company. Economists in our team will work closely with other research scientists, machine learning experts, and economists globally to design new frameworks for understanding business outcome and what impacts customer experiences. Our economists and scientists work closely with software engineers to put algorithms into practice.We are 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 high returns Our team seeks an outstanding econometrician with demonstrated experience tackling large-scale time-series forecasting challenges. We prize creative problem solvers with the ability to adapt and extend cutting-edge forecasting models to the unique and interesting problems we have in measuring customer experiences and Amazon business outcome. Our problems include forecasting key customer experiences metrics at different levels of granularities and explaining the drivers of the changes in these metrics. The ideal candidate combines acumen in statistics and applied time-series modeling to grapple with these and other challenges and guide decision-making at the highest levels of accuracy and model explain-ability.
Applied Scientist
US, CA, Cupertino
Amazon's Simple Storage Service (S3) offers industry-leading scalability, data availability, security, and performance. S3’s Automated Reasoning Group (S3-ARG) develops and applies automated reasoning techniques to deliver correct, secure, durable, and available distributed systems and storage services. S3 is complex: it consists of over 300 microservices each of which is a distributed system. With a very large number of servers and 10s of millions of requests per second, it is also highly concurrent. S3 has a sizable codebase, developed and maintained by a large team of engineers. Getting such a complex and fast-evolving system right requires developing cutting edge automated reasoning methods that are continuously integrated into the software development process. This is what our team does.We work on techniques ranging from deductive proofs to model checking, from static analysis to runtime verification of protocols. We work both at the design and the code level, and connecting the two is essential for us. We partner with development teams to make sure that our methods are deployed across S3 and that correctness is maintained as the software evolves. We have had significant success with adoption and we are key contributors to recent S3 launches such as strong consistency. We are developing innovative methods all the time. We publish our results at conferences and journals.We are a diverse team and are looking for teammates who are enthusiastic to work on these problems and further the state of the art with us. We are seeking candidates who are deep in one area of expertise but also broad enough to take on the most complex cloud computing challenges. If you are interested in exploring, please e-mail s3-arg-jobs@amazon.com.About UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Data Scientist
US, WA, Seattle
At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday lifeWe are seeking a Data Scientist to be part of the NLU science team for Alexa Shopping. This is a strategic role to shape and deliver our technical strategy in developing and deploying NLU, Machine Learning solutions to our hardest customer facing problems. Our goal is to delight customers by providing a conversational interaction. These initiatives are at the heart of the organization and recognized as the innovations that will allow us to build a differentiated product that exceeds customer expectations. We're a high energy, fast growth business excited to have the opportunity to shape Alexa Shopping NLU is defined for years to come. If this role seems like a good fit, please reach out, we'd love to talk to you.This role requires working closely with business, engineering and other scientists within Alexa Shopping and across Amazon to deliver ground breaking features. 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.
Data Scientist I - AMZ5650
US, NY, New York
MULTIPLE POSITIONS AVAILABLEEntity: Amazon Web Services, Inc.Title: Data Scientist ILocation: New York, NYPosition Responsibilities:Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Applied Scientist - AMZ5624
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.Com Services LLCTitle: Applied ScientistWorksite: Seattle, WAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Data Scientist, Public Sector - AWS Professional Services
US, CO, Denver
Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help public sector, medical center and non-profit agencies derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI.AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office.A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:· Understand the customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances .· Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.· Use Deep Learning frameworks like PyTorch, Tensorflow, and MxNet to help our customers build DL models.· Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.· Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.· Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.· Assist customers with identifying model drift and retraining models.· Research and implement novel ML and DL approaches, including using FPGA.· This position can have periods of up to 10% travel.
Data Scientist
US, WA, Seattle
At Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Amazon Show, Spot, Echo, Dot or Tap. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday lifeWe are seeking a Data Scientist to be part of the Correction and Automated Recovery (CARe) team for Alexa Shopping. Our team focuses on solving the hard problem of recovering from shopping errors in the Alexa pipeline and improve customer CX. The solutions will help address unique shopping challenges and maximize the self-learning benefits for shopping. This is a strategic role to shape and deliver our science strategy in developing and deploying Machine Learning solutions to our hardest customer facing problems. The initiatives are at the heart of the organization and recognized as the innovations that are ground breaking and will allow us to exceed customer expectations. If this role seems like a good fit, please reach out, we'd love to talk to you.This role requires working closely with business, engineering and other scientists within Alexa, Shopping and across Amazon to deliver ground breaking features. You will lead high visibility and high impact programs collaborating with various teams across Amazon. You will work with a team of SDEs and Scientists to launch new customer facing features and improve the current features.
Applied Scientist, Alexa AI
US, MA, Cambridge
The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background, to help build industry-leading Speech and Language technology.About the hiring groupThe Alexa AI team has a mission 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.Job responsibilitiesAs an Applied Scientist with the Alexa AI team, 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.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.
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