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US, CA, Manhattan Beach
Job summaryAmazon is looking for a creative Applied Scientist to tackle some of the most interesting problems on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), and Information Retrieval (IR) with our Alexa Artificial Intelligence (AI) team. Alexa AI is part of our ongoing efforts focused on reinventing information extraction and retrieval for a voice-forward, multi-modal future.A successful candidate will develop novel ML/NLP/IR/Deep Learning technologies to make Alexa smarter. They will have a true passion for working in a collaborative, cross-functional environment that encourages thinking about optimized solutions to unique problems that do not have yet a known science solution.If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel algorithms and modeling techniques to leverage and advance the state-of-the-art in technology areas that are found at the intersection of ML, NLP, IR, and Deep Learning. Your work will directly impact Amazon products and services that make use of speech and language technology. You will gain hands on experience with Alexa and large-scale computing resources.In this role you will:· Work collaboratively with scientists and developers to design and implement automated, scalable NLP/ML/IR models for accessing and presenting information· Drive scalable solutions from the business, to prototyping, production testing and through engineering directly to production· Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide junior members to achieve their career growth potential.About the teamOur team tries to have a healthy balance between work and play. We celebrate our successes and milestones and we are not afraid to take risks, even if it causes unintentional mistakes along the way. We believe in learning from our mistakes and moving forward.
US, WA, Seattle
Job summaryAt 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 ASR science team for Alexa Shopping. This is a strategic role to shape and deliver our technical strategy in developing and deploying ASR, 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. 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 Scientists and SDEs to launch new customer facing features and improve the current features.
US, WA, Seattle
Job summaryAre you interested in big data, machine learning, and product recommendations? If so, the Product Semantics team in Amazon Product Graph might be the right place for you. We are a team in a fast-paced organization with a huge impact on hundreds of millions of customers. We innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.As the world’s most customer-centric company, Amazon heavily invests in inventing and applying state-of-art technologies to build world-class product recommendation systems to improve shopper experience. We break fresh ground to create world-class customer-facing features to help customers discover high quality products that meet their needs, and provide most relevant product information to help customers make confident shopping decisions. We are a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we have a very wide range of new opportunities to explore.The Product Semantics team in Amazon Personalization, based in Seattle and New York City, is looking for scientists who love big data, are passionate about understanding products and product relationships from product profiles, reviews, and search log, and who are capable of inventing and applying Machine Learning, NLP, and Computer Vision techniques that will leave no valuable data behind. Our applied scientists work closely with software engineers to put algorithms into practice. They also work in partnership with teams across Amazon to create enormous benefits for our customers.If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.Key job responsibilities· Use machine learning and analytical techniques to create scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes· Design, development and evaluation of highly innovative models for predictive learning· Work closely with software engineering teams to drive model implementations and new feature creations· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research and implement novel machine learning and statistical approachesAbout the teamOur mission is to delight every Amazon customer with a personalized shopping experience. We achieve our mission through investments in UX, Science, and Systems with the purpose of delivering the future of shopping on Amazon. We are seeking an Applied Scientist to work on step function science improvements across the recommendations space.
US, WA, Bellevue
Job summaryFBA Inventory team is looking for a passionate and creative Data Scientist to join our cross-domain science team of data scientists, applied scientists, research scientists, and economists. As a data scientist you will be responsible for generating data-driven insights influencing business directions and product/policy designs, building ML models to learn Seller and customer behaviors, and collaborating with business and software teams to solve key challenges facing the worldwide FBA Seller business, including 1) improving FBA Seller inventory efficiency, 2) efficiently balancing the supply and demand of FBA Seller capacity, 3) closing worldwide selection gap by enabling global selling profitability, and 4) driving out costs across the FBA supply chain to spin the flywheel.Key job responsibilitiesAs a member of the science team, you will play an integral part in Amazon's FBA inventory management with the following technical and leadership responsibilities:· Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, Scala, etc.) to analyze data and build innovative statistical and machine learning models to drive FBA growth and efficiency.· Translate business problems into specific analytical questions and form hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps· Retrieve, analyze, synthesize, and present historical data in a format that is immediately useful to answer specific questions, improve system performance, or support decision making.· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.A day in the lifeIn this role, you will be a technical expert with significant scope and impact. You will work with Product Managers, Software Engineers, and other Scientists, to deeply understand FBA Seller business problems and priorities. You will form hypotheses, analyze Seller and customer data using statistical methods, build new and enhance existing ML models, generate insights and recommendations to address a range of problems on Seller inventory management in order to optimize Seller experience and facilitate their growth. The successful Data Scientist will have strong bias for action needed in a startup environment, with leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term scientific solutions. 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.About the teamSellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. Fulfillment By Amazon (FBA) enables Sellers to provide fast and efficient deliver to their customers using Amazon fulfillment services. In 2020, Sellers enjoyed strong growth using FBA shipping more than half of all products offered on Amazon. To our consumers, FBA provides a broad and diverse inventory of products from Books, Electronics and Apparel to Consumables and beyond with many of them available with 1-Day shipping. The FBA Inventory team within the Amazon Supply Chain Optimization Technology (SCOT) organization is the core team in charge of fulfillment services to our Sellers.
US, CA, San Diego
Job summaryDo you want to be at the forefront of driving a global and thriving business? Do you like to build insights from the ground to deliver value to Amazon customers? Come join the Amazon Accelerator team in Amazon Private Brands! In Accelerator, we enable brand owners across the world to create new brands sourced from qualified manufacturers and sell them exclusively on Amazon. Through Accelerator, we scale services that we build in Amazon Private Brands, enable brand owners to reach their full potential faster and give them a unique opportunity to supply for Amazon Private Brands.We are looking for an experienced and curious data scientist with superior analytical skills to generate data-driven insights influencing the direction of Amazon Accelerator, build the necessary predictive models, optimization algorithms and customer behavioral segments allowing us to discover and shape the value proposition of Amazon Accelerator.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, Program 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.This role can be based in San Diego, CA, or Santa Monica, CA.Key job responsibilities· Leverage your business acumen and judgement to work with program stakeholders on defining analysis requirements. You will help bring clarity on how to approach and resolve problems in poorly defined spaces.· Use a range of data science techniques and methodologies to define the methodology and conduct the analyses. Make trade-offs between methods and apply best practices to validate your solutions.· Gather and consume complex and large amount of data across multiple sources. Collaborate with data sources owner to validate data integrity.· Document outcome of the analyses and present to both technical and non-technical audience, including leadership team.· Share your knowledge and help the analytics team develop sharper expertise in data science and how to use it for long-term decision making.A day in the lifeYou will work with a variety of stakeholders including Program Managers, Business Intelligence Engineers, Finance, Economists, etc. to define the scope of the analyses you will own and formulate a recommendation on how to solve business problems.About the teamYou will be working as part of the Accelerator central team. Our team includes product, program, tech, data and science and collaborates with our global business teams to deliver value to the selling partners who participate in our program.
US, NY, New York
Job summaryAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising tools and products that drive discovery and Advertiser success. 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.The Advertiser Account and Identity Management team is responsible for driving accurate, scalable identity management process and tools that enables advertisers improve performance for brand engagement by providing them with actionable retail & ads analytics. We also deliver retail & ads information services enabling Amazon partner teams to provide brands with automated campaign management experiences.Team is looking to hire a talented Data Scientist, who would be responsible for defining and delivering a collection of products that take command of large and unstructured data sources and turn them into rich insights that help advertisers present the right ads to the right consumers at the right time and place.As a Data Scientist on this team, you will:· Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data· Apply statistical and machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you define.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support optimal decision making.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US, WA, Bellevue
Job summaryWithin Global Customer Fulfilment (GCF), the North American Inbound Operations & Technology (IOT) is looking for an experienced Senior Data Scientist to design and develop Machine learning and analytical solutions that will support initiatives to optimize Amazon's Supply Chain. GCF Organization is comprised of high-powered dynamic teams, which are shaping network execution through the development and application of innovative supply chain management concepts. Our goal is to improve and enhance the Amazon fulfillment network to drive the best customer experience in a reliable and cost-efficient manner.A successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and ability to work in a fast-paced, high-energy and ever-changing environment. As a Senior Data Scientist, you will own the design, development, and management of large-scale DS/ML solutions that will support the team take advantage of new and existing business opportunities. You will work closely with Software developers, Data engineers, and Scientists to develop the Machine Learning (MLOps) pipelines to deploy the models into production. The candidate must have the ability to work with diverse group of people and cross-functional teams to solve business problems through the delivery of highly accurate forecasting solutions. The position will have a lot of visibility and interaction opportunities across all the business levels.The complexity of research and technical skills required for this role will involve development of end-to end fully automated ML products/services, expert knowledge of statistics and algorithm development, writing technical white papers, creating technical roadmaps, developing and supporting Machine Learning (ML) infrastructure, managing AWS services, and creating interactive visualization solutions. Writing high quality SQL using Amazon's wide variety of querying tools, strong coding skills in Python, and developing visualization dashboards to easily communicate your findings are critical technical skills.Key job responsibilities• Develop a deep understanding of Amazon’s supply chain and AWS’s services and tools• Work with Customers, Product Managers, Technology and Business teams, Engineers, and Leadership to identify and prioritize business problems• Take the lead on large projects that span multiple teams for problems that are ambiguous, requiring both technical and domain expertise.• Build ML and statistical models that provide inputs into key business processes; work in partnership with engineering teams to integrate models with existing tools/systems and drive full automation of end-to-end modelling workflow to initiate customer handoffs• Conduct extensive research on the optimal ways to solve the problems and come up with novel ways/algorithms to deliver the desired result, resulting in significant impact to the downstream/upstream business processes.• Collaborate with Software Developers (SDEs), Data Engineers (DEs), and Business Intelligence Engineers (BIEs) to create data pipelines, and automate manual processes using scripting languages such as Python and Native AWS services• Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations• Lead deep dive analysis of business problems, formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights for key stakeholders that will help shape the future of product development initiatives
US, WA, Seattle
Job summaryHow can we create a rich, data-driven shopping experience on Amazon? How do we build data models that helps us innovate different ways to enhance customer experience? How do we combine the world's greatest online shopping dataset with Amazon's computing power to create models that deeply understand our customers?Recommendations at Amazon is a way to help customers discover products. Our team's stated mission is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations". We strive to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline customers' shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day.Using Amazon’s large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.
US, NY, New York
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, 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 and break fresh ground in product and technical innovations every day!The Ad Measurement team develops and deploys solutions fueled by machine learning to support Amazon Advertisers in their strategic campaign planning. Leaning on rich data points, we provide measurements, predictions and diagnostics that separate Amazon Advertising from all other media. To do this, our team must bring a diverse set of Statistical Machine Learning skills including Computer Vision, Deep Learning Natural Language Processing models, Marketing Mix and Response Models, and Brand Sentiment and Lift analysis.As a Senior Data Scientist on this team, you will:· Lead full life-cycle Data Science solutions from beginning to end.· Deliver with independence on challenging large-scale problems with ambiguity.· Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· Apply statistical and machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raE
US, WA, Seattle
Job summaryInteresting ML and causal inference problems, high visibility, cross-team collaborations with other scientists and engineersKey job responsibilitiesAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Applied Scientists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon Applied Scientists will apply the frontier of Machine Learning to forecasting, detection, online advertising and other areas. You will build machine learning science models, using our world class data systems, and apply machine learning techniques to solve business problems in a fast moving environment. Applied Scientists 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.At Customer Trust and Partner Support, we aim to make Amazon the safest place for our Customers, Selling Partners, and Brands, and the best place to build thriving business for our Selling Partners and Brands.As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impact millions of customers and sellers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.A day in the lifedeveloping modelcode reviewcommunicating results to biz stakeholderAbout the teamPOE Econ is a center of excellence for providing analytical solutions that marry ML and causal inference techniques at scale to measure long-term impacts to the teams and enable impact-based decision making.
US, WA, Seattle
Job summaryInteresting ML and causal inference problems, high visibility, cross-team collaborations with other scientists and engineersKey job responsibilitiesAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Applied Scientists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon Applied Scientists will apply the frontier of Machine Learning to forecasting, detection, online advertising and other areas. You will build machine learning science models, using our world class data systems, and apply machine learning techniques to solve business problems in a fast moving environment. Applied Scientists 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.At Customer Trust and Partner Support, we aim to make Amazon the safest place for our Customers, Selling Partners, and Brands, and the best place to build thriving business for our Selling Partners and Brands.As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impact millions of customers and sellers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.A day in the lifedeveloping modelcode reviewcommunicating results to biz stakeholderAbout the teamPOE Econ is a center of excellence for providing analytical solutions that marry ML and causal inference techniques at scale to measure long-term impacts to the teams and enable impact-based decision making.
US, WA, Seattle
Job summaryIn Amazon Advertising we are applying Machine Learning techniques at massive scale to optimize advertising performance. We are looking for talented applied scientists to perform research, prototyping, and experimentation with the latest ML techniques. In this role you will work together with other Applied Scientists and Data Scientists, Software and Data Engineers, and Product Managers on high impact initiatives in Amazon’s Multi Channel Advertising.The Ad Performance and Delivery team owns the core systems for optimizing Ad Selection, Bidding, and Campaign Performance. These systems process billions of Ad impressions daily from across the internet to power our display advertising algorithms. You will play a significant role in building and improving ML-based optimization systems for Amazon’s display, audio, and video advertising. You will research the latest advances in ML prediction and forecasting techniques, construct prototypes to validate your hypothesis, work with engineers to turn these prototypes into production systems, and perform offline analysis and online A/B experimentation.In this role, you will work directly with a highly motivated team of ML scientists and engineers who are passionate about applying data science and ML techniques to solve advertiser needs. You will also join the lively Amazon ML community, with opportunities to write papers, attend workshops and conferences (internal and external), participate in science events, and obtain early access to Amazon ML technologies.As a Senior Applied Scientist on this team, you will:· Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.· Lead technical efforts within this team and across other teams.· Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.· 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 to assist in productionizing your ML models.· Research new and innovative machine learning approaches.· Recruit Applied Scientists to the team and mentor scientists on the team.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US
Job summaryWant to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.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 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. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.Major responsibilities include:· Assist customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization· Use AWS AI services (e.g., Personalize), ML platforms (SageMaker), and frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models· Research and implement novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia· Work with our other Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data, and with our Professional Services engineers to operationalize customers’ models after they are prototypedInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 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 16 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 harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.
US
Job summaryThe AWS Intelligent and Advanced Computing Technologies (IACT) organization is growing an application development team.Our organization specializes in solving elusive problems. We are a hybrid team of machine learning, quantum computing and high performance computing professionals who directly support AWS customers with custom and off-the-shelf applications.Our team offers the opportunity to engage directly with advanced technologies projects (e.g. computer vision, natural language processing, quantum simulation, and optimization) while supporting AWS customers (e.g. startups, Fortune 500, nonprofit, etc.) across all industries.Key job responsibilitiesYou should be ready to collaborate with customer and design teams to support machine learning application development from a security perspective. This includes analyzing AWS application operation at the API level and ensuring that applications exceed security expectations. You should feel empowered to collaborate through ambiguous customer environments and understand how IACT applications can best solve customer needs.Within AWS, you will work closely with Machine Learning, Quantum Computing, and High Performance Computing teams both within Professional Services and externally. You can expect to work with customer product managers, architects, and executives (e.g. Dir., VP, CxO).About the teamInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 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 16 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 harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
US, CA, Irvine
Job summaryAs the Applied Science Manager within Personalization, you will help build a team that leads creation and innovation on the next generation of Recommendation and Personalization technologies on Amazon. Our team owns creating recommendation solutions that understand long-term customer shopping patterns, Spanning Academia, research, and applied machine learning techniques operating at world-class scale, we focus on recommending the right product to the right customer at the right time. You will be surrounded by thought-leaders in the Personalization space who are patent-leaders within Amazon.In Personalization we use state-of-the-art machine learning techniques and A/B testing to run experiments on some of Amazon’s most prominent and valuable pages. We work on a diverse range of products, building real-time, low-latency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. You will hone your skills in areas such as deep learning and collaborative filtering while building scalable industrial machine learning systems that handle millions of requests a day. You will lead a collaborative team of experienced engineers. You will have a unique opportunity to drive direct, measurable impact to our customers, powering features on Amazon.About the team: Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities, generate hypotheses, and test them. We refuse to accept constraints, internal or external, and have a strong bias for action. We imagine, build prototypes, validate ideas, and launch follow-up experiments from the successful ones.About you: You are an entrepreneurial Applied Science Manager with an interest in machine learning, data science, search, or recommendation systems. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products and hiring/coaching successful teams. You enjoy working hard, having fun, and making history!
US, CA, Cupertino
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.As a Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.
IN, KA, Bangalore
Job summaryThe Team: Amazon One is a fast, convenient, contactless way for people to use their palm to make everyday activities like paying at a store, presenting a loyalty card, entering a location like a stadium, or badging into work more effortless. The service is designed to be highly secure and uses custom-built algorithms and hardware to create a person’s unique palm signature. Designed and custom-built by Amazonians, it 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.If you have expertise leading Computer Vision research teams and have a Ph.D, or an Masters and 2+ years of industry experience and have: - the ability to recognize and champion new ideas and novel solutions;· the insight to correctly identify paths worth exploring;· the discipline to fast-fail when data refutes theory;· and the fortitude to continue exploring until your solution is foundCome join us invent the future and change the world.
US, CA, Sunnyvale
Job summaryAmong the goals of the Alexa AI team is to make Alexa the most knowledgeable and trusted source of local information to enable customers to find places, products, or services around them; ask detailed questions about points of interests; and to provide personalized travel, commute, and navigation experiences - while in the car, on the go, or at home.We are seeking a Data Scientist to be part of the NLU Science team for Alexa Local Information. This is a strategic role to shape and deliver our technical strategy in developing and deploying natural language understanding and machine learning solutions to our hardest customer-facing problems. This role requires collaborating closely with business, engineering and other scientists within Local Information and across the Alexa organization. You will work with a team of Language Engineers and Scientists to launch new customer facing features and improve the current experiences.Key job responsibilities· Apply machine learning and SLU techniques to improve our conversational interfaces and search algorithms· Collaborate with Scientists and Language Engineers in developing coherent and comprehensive meaning representation frameworks· 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· Work closely with product managers and software engineers to design experiments and implement end-to-end solutions· Set up and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them· Handle competing requests from a range of data customers· Be a member of the Amazon-wide machine learning community, participating in internal and external Meet-Ups, Hackathons and Conferences· Help attract and recruit technical talent
US, WA, Seattle
Job summaryAmazon Web Services (AWS) is obsessed with ensuring the success of our customers. We want to nurture many new customers through use of technical support, credits, and training programs. To this end, we need to understand what types of customers respond the most to these different benefits. Can we tell who needs help from the sales force vs. those who are more motivated by sticker price? Do the impacts of credits or sales help vary by customer tenure, or industry? These are the types of questions we'll answer to help drive the growth of AWS.Job Locations:· Seattle, WA· Dallas, TX· Arlington, VA· Boston, MA· Vancouver, CAKey job responsibilitiesBeyond the usual technical skills, ownership, customer obsessions, and deliver results are key for this team. We need people who can understand customer needs, build a prototype, collect feedback from the customer, build some more, lather, rinse and repeat. Our team contains a wide diversity of tech talent and we can get you help when you're blocked. But we do need you to understand your customers' requirements and work backwards.About the teamWe're a team of economists, data and applied scientists, and engineers who work on projects to help make the best use of AWS's thousands of talented sales representatives. We have great data support from our sister teams and have more than tripled our team size by thinking big and delivering. We'd love to chat with you and answer any questions you have!
US, WA, Redmond
Job summaryAs an Applied Scientist on the team you will responsible for building out and maintaining the algorithms and software services behind one of the world’s largest satellite constellations. You will be responsible for developing algorithms and applications that provide mission critical information derived from past and predicted satellite orbits to other systems and organizations rapidly, reliably, and at scale.You will be focused on contributing to the design and analysis of software systems responsible across a broad range of areas required for automated management of the Kuiper constellation. You will apply knowledge of mathematical modeling, optimization algorithms, astrodynamics, state estimation, space systems, and software engineering across a wide variety of problems to enable space operations at an unprecedented scale. You will develop features for systems to interface with internal and external teams, predict and plan communication opportunities, manage satellite orbits determination and prediction systems, develop analysis and infrastructure to monitor and support systems performance. Your work will interface with various subsystems within Project Kuiper and Amazon, as well as with external organizations, to enable engineers to safely and efficiently manage the satellite constellation.The ideal candidate will be detail oriented, strong organizational skills, able to work independently, juggle multiple tasks at once, and maintain professionalism under pressure. You should have proven knowledge of mathematical modeling and optimization along with strong software engineering skills. You should be able to independently understand customer requirements, and use data-driven approaches to identify possible solutions, select the best approach, and deliver high-quality applications.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.About the teamThe Constellation Management & Space Safety team maintains build the software services responsible for maintaining situational awareness for Kuiper satellites and coordinating with internal and external organizations to maintain the nominal operational state. We build automated systems that use satellite telemetry and other related data to predict future orbits, plan maneuvers to avoid high risk conjunctions, and keep satellites in the desired locations. Using knowledge of software engineering and space systems, we provide visibility information that is used to predict and establish communication channels for Kuiper satellites.