Abstract
Tuning complex machine learning systems is challenging. Machine learning typically requires to set hyperparameters, be it regularization, architecture, or optimization parameters, whose tuning is critical to achieve good predictive performance. To democratize access to machine learning systems, it is essential to automate the tuning. This paper presents Amazon SageMaker Automatic Model Tuning (AMT), a fully managed system for gradient-free optimization at scale. AMT finds the best version of a trained machine learning model by repeatedly evaluating it with different hyperparameter configurations. It leverages either random search or Bayesian optimization to choose the hyperparameter values resulting in the best model, as measured by the metric chosen by the user. AMT can be used with built-in algorithms, custom algorithms, and Amazon SageMaker pre-built containers for machine learning frameworks. We discuss the core functionality, system architecture, our design principles, and lessons learned. We also describe more advanced features of AMT, such as automated early stopping and warm-starting, showing in experiments their benefits to users.
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US, NY, New York
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.This opportunity is for the Advertising Forecasting Science team, which consists of scientists and engineers based in Palo Alto, California. The team builds forecasting models for advertising campaigns and financial planning, with revenue exceeding tens of billions of dollars. In addition, the forecasting science team makes auction prediction and handles bid optimization for billions of requests per day, impacting the company’s performance directly using advanced Machine Learning algorithms.As a Data Scientist on this team you will:· Solve real-world problems by analyzing large amounts of business data, diving deep to identify business insights and opportunities, designing simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.· Apply statistical or machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you defined· Deliver with independence on challenging large-scale problems with ambiguity.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support decision making.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Provide requirements to develop analytic capabilities, platforms, and pipelines.· 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 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, MA, Boston
Help us shape the future of Alexa where it not only responds to requests from you but also anticipates what you need next and informs you of it at the right moment. We are looking for a seasoned applied scientist to understand signals of engagement, frustration and postive re-enforcement from customers over several diverse voice and visual experiences across Amazon Echo products.A day in the lifeAs an Applied Science in the Alexa Experiences and Devices organization, 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 design and develop fast, efficient, and highly scalable machine learning algorithms. You will work on developing novel solutions using large-scale real-world datasets. You will work with senior scientists, engineers, and product team within Alexa to build, evaluate, and deliver your solutions. You will have a chance to directly impact customers experience with Alexa by developing innovative solutions that enable Alexa to continually learn and improve based on customer interactions.About the hiring groupAlexa Feedback is an engineering and science team within Alexa. Our mission is to give voice to customers, enabling them to be heard and for Alexa to continually improve. We seek to organize, unify and understand all of the ways customer provide feedback to Alexa.Job responsibilities. Design, build, test and release strategic ML models· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, and transformation.· Collaborate with colleagues from science, engineering and business backgrounds.· Present proposals and results to partner teams in a clear manner backed by data and coupled with actionable conclusions· Work with engineers to develop efficient data querying and inference infrastructure for both offline and online use cases. Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences.. Potentially support published works.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, MA, Cambridge
The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.A day in the lifeAs 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 novel products and services that make use of speech and language technology.You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.You will help mentor junior scientists, and create and drive new initiatives.About the hiring groupThe Alexa Artificial Intelligence (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 novel products and services that make use of speech and language technology.You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.You will help mentor junior scientists, and create and drive new initiatives.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
The Alexa Artificial Intelligence (AI) team is looking for a passionate, talented and inventive Senior Applied Scientist with a strong machine learning background to build state-of-the-art ML systems powering Alexa’s interactions with its customers. Join a dynamic and innovative team of scientists who are using machine learning, large scale database, information retrieval and natural language technologies to make Alexa more knowledgeable and accurate.A day in the lifeAs a Senior Applied Scientist, you will be developing AI & ML techniques in entity representation, linking, and knowledge graph problems. You will enjoy a creative environment that balances research with application, explore the frontier of ML techniques, and help build a key piece for Alexa's functionality. You will work closely with engineering and business teams to lead the end-to-end process of identifying problems, implementing solutions, and scientifically measuring the impact on downstream systems. If you love massive scale problems and want to build AI systems which reach out to millions of users - this is the team for you!About the hiring groupThe Alexa AI organization is responsible for cutting-edge research and development in virtually all fields of human language technology, with the objective of making Alexa more smarter, trustworthy and responsive for our customers. Our team is focused on organizing information and knowledge, and making it actionable on Alexa through natural inputs in all languages and all modalities.Job responsibilities· Use NLP, deep learning and graph ML techniques to create scalable solutions for entity ingestion, linking and creation of enriched knowledge representations· Develop systems to extract & align entity information from massive structured and unstructured catalogs and knowledge bases, and process them to build linked entity representations· Design, experiment and evaluate highly innovative models for predictive, explainable learning· Work closely with other scientists from Alexa AI teams to build state-of-the-art ML systems powering Alexa· Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations· Research and implement novel machine learning and statistical approachesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, WA, Seattle
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive 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 Response Prediction team builds innovating click-through rate & conversation rate machine learning models, pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team.This team is directly impacting customers in meaningful ways and contributing to billions of dollars in revenue!As an Applied Scientist on this team you will:· Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.· Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.· Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new predictive learning approaches for the sponsored products business.· Write production code to bring models into production.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE
US, CA, Sunnyvale
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?The Role:You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness.Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques.In this role, you will:· · Evaluate and optimize thermal solution requirements of handheld consumer electronic products· · Use simulation tools like FloTherm XT/EFD for analysis and design of products· · Validate design modifications for thermal concerns using simulation and actual prototypes· · Establish temperature thresholds for user comfort level and component level considering reliability requirements· · Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues· · Use of programming languages like Python and Matlab for analytical/statistical analyses and automation· · Collaborate as part of device team to iterate and optimize design to establish and deliver project performance objectives· · Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins· · Create and present analytical and experimental results· · Develop and apply design guidelines based on project learnings
US, CA, Sunnyvale
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics.The Role:“If you do not work on an important problem, it's unlikely you'll do important work.” – Richard HammingWe have important problems to solve. There are great, world-changing products that should exist, but do not, because the technology to enable them does not exist. Yet. That’s where you come in. We are a smart team of doers that work passionately to apply cutting-edge advances in robotics to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. Key responsibilities will be to understand the state of the art, conduct research and develop algorithms by collaborating with cross-functional engineering teams including Amazon Robotics, to put the concepts you develop into production. You will determine where commercially available solution and academic research can be applied to solve Amazon business problems, as well as identify opportunities for innovation. You will use data to train and test algorithms to bring them up to production level quality.We are seeking an Applied Scientist with a background in Computational Geometry, Geometry Processing, 3D reconstruction and practical experience in Deep Learning. If this describes you, come join our team at Lab126 in the heart of Silicon Valley. A researcher on this team will translate business and functional requirements into working code. Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale before are essential.If you join us, your opportunities will include:· Work on ambiguous problem areas and help formulate the problem statement· Research, design, implement and evaluate novel algorithms· Collaborate closely with team members on developing systems from prototype to production· Work closely with partner engineering teams to drive scalable implementations that can be leveraged by high value customer features
US, WA, Seattle
Economists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.A day in the lifeEconomists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.About the hiring groupEconomists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Job responsibilitiesAmazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.Economists at Amazon Delivery Experience will be expected to work directly with senior management to drive innovation in retail supply chain and help solve key business problems in operations. You will apply the frontier of economic thinking on design, pricing, forecasting, program evaluation, and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
US, Virtual
To meet the growing demand for Amazon Web Services around the globe, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized self-starter to join the AWS Certification Team focusing on holistic strategies and multiple audiences for our AWS Certification offerings. As part of this team, you will be responsible for maintaining the validity of our offerings and supporting initiatives to improve quality and efficiency and aligned to AWS technologies, solutions, and services.We are seeking a Research Scientist with experience working with criterion-referenced assessment programs to support a large global AWS Certification program. In this role, you will support AWS Certification efforts to conduct job analyses, set passing scores, create construct maps, deploy methodologies for automatic item generation, support item and test analyses for active exams, and evaluate the adequacy of existing item banks for form development plans.You will work closely with an existing team of senior psychometricians and certification exam program managers in development, publishing, delivery, security, product management and translation/localization to support ongoing analyses of exam data. To be successful in this position, you must be highly motivated, creative, and a self-starter who is able to think big, execute, yet stay focused on the details.Key Responsibilities:· Conduct/support Job Task Analysis (JTA) workshops and post-JTA survey analyses to define the blueprint and test specifications for new certifications or updates to existing certifications· Conduct standard setting studies to set the passing score for an exam· Support ongoing efforts to incorporate Automatic Item Generation and Assessment Engineering into the item development processes· Support item analysis to evaluate quality and performance of active exam items· Interpret and clearly communicate the results of analyses to stakeholders through written and oral reports· Follow the accreditation standards set by ISO/IEC:2012 17024 and the National Council for Certifying Agencies (NCCA) as they relate to valid psychometric practices· Contribute to the development and execution of the strategic goals regarding the AWS certification program.· Consult with leadership, internal staff, external consultants, and industry leaders regarding advancement of current offeringsAbout UsAs cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded employee and enable them to take on more complex tasks in the future.This position can be performed from any AWS US corporate office.The pay range for this position in Colorado is $132,800 - $160,000/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
LU, Luxembourg
THIS IS A FIXED TERM CONTRACT JOB THAT ENDS ON 1st JUNE 2022.EU Global Transportation Technology Services is looking for a Research scientist to play a key role in maintaining and transforming EU Supply Chain and Trans data lake into meaningful analytics. The ideal candidate will be passionate about partnering in a team that drives next generation extremely large, scalable and fast distributed systems on AWS stack (with focus on Redshift). The candidate will help us grow our capability set, drive efficiency, and improve our overall data technology offering.The ideal candidate has exposure to both data management and science. The candidate should we well versed in data modelling, ETL design, and can build optimized data pipelines for a BigData environment. As a scientist, the candidate can take on ambiguous problems (EU/NA) and use science based techniques to develop solutions and publish papers with the team.This candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and above all else, is passionate about data and analytics. S(h)e should possess excellent communication skills as the candidate will work closely with diverse teams and sometimes senior leadership. In addition, the candidate should demonstrate thought leadership to drive business insights through machine/deep learning initiatives using out elaborate data sets.Along with complex problems to solve, we provide you world class work environment and a chance to work with few of industry most talented team members in data engineering space and opportunity to contribute and create history while having fun.Responsibilities· Develop science based models to calculate heuristics for transportation business· Manage large redshift clusters (approx. 4PB) for analytical needs· Implement and test data pipelines from variety of systems (batch and real time).· Collaborate with the development team and end customers.· Advise the team on optimization, performance tune when required· Ensure quality of data through tested deliverables and auditing· Understand team, data and software architecture; actively seeks knowledge and solutions
US, VA, Arlington
Come and build innovative services that protect our cloud from security threats. As an AWS Security Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!Mentorship & Career GrowthOur team is dedicated to supporting new team members. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, junior data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.We care about your career growth. We create opportunities for you to continuously develop into a more well-rounded leader and builder, enabling greater customer impact and influence over time.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we’ve been building.Inclusive and Diverse CultureOur team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a cool service, but we also believe a big reason for that is the inclusive and welcoming culture we cultivate every day.Here 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 values work life balance. We are passionate about the capabilities we build, and we are responsible for our on-call rotation to ensure our services bring value to our customers. We understand that life is challenging and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs.
US, WA, Seattle
AWS Hardware Engineering is looking for an experienced, self-driven Data Scientist to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning. As a Data Scientist, you are able to use a range of data science methodologies to conduct analysis for cases when the solution approach that relates to a portion of a business or business process is unclear. You have a breadth of experience in the practical application of data science techniques and tools to solve difficult business problems. Your work is focused on team-level goals, medium size projects, and small subsets of larger goals. You are able to ramp up quickly on new areas where colleagues identify established solutions.The ideal candidate will be able to solve complex problems using data science principles that are highly accurate, stable, secure, scalable, and cost-effective. You will have hands-on experience leading and/or working on multiple simultaneous data science initiatives as well as be able to balance technical with business judgment to make the right decisions about technology, models and methodologies. You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof. You will be responsible for developing KPIs, programs, reporting, visualizations, tests and research in order to drive business solutions using computational techniques, and statistics to support strategic and tactical decision-making. You will have significant experience performing large-scale data analysis and reporting.This position requires a solution-oriented candidate with a combination of deep business acumen, broad knowledge of statistics and algorithm development, and an analytical mindset. The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand.You will have the opportunity to leverage extensive datasets and provide meaningful insights to improve the customer experience as well as optimize business decisions for Amazon.
US, CA, Culver City
Want to shape the future of streaming through data science and machine learning? We’ve got the shows people love to watch (Jack Ryan, The Expanse, The Boys) and the Emmy Awards love to honor (The Marvelous Mrs. Maisel, Fleabag). You’ve got the skills to discover patterns in how people consume our beloved content and quantitatively optimize decisions on IP discovery, content development, and scheduling.We are looking for a customer-focused, solutions-oriented Applied Scientist for our Amazon Studio Science team. The department is growing fast to provide insights towards our audience and program development on a mission to deliver a right mix of content at the right time. We develop data products and machine learning system using clustering, predictive models, causal models and natural language processing (NLP).The goal of the role is to apply the most effective machine learning techniques to creative content embedding (books, videos and games), book summarization using NLP, causality of creative decisions on customer acquisition and engagement. The systems you build and the algorithms you create will directly impact Amazon Original programming and scheduling decisions. Your work helps us deliver popular and high-quality content that millions of customers love to watch and talk about.Responsibilities:· Use statistics, NLP and machine learning techniques to create scalable solutions for business problems· Design, experiment and evaluate highly innovative models for predictive learning, representation learning and text summarization· Research and implement novel machine learning and statistical approaches· Understand the business reality behind large sets of data and translate a business use case to manageable modeling tasks.· Work closely with internal stakeholders in finance, creative development, programming, strategy, and scheduling.
US, NY, New York
Amazon’s Advertising Analytics and Insights (A&I) team is looking for a motivated and experienced Research Scientist to pioneer new ways to analyze the needs, experiences, and behaviors of Amazon consumers at petabyte scale. We are a startup within one of the fastest growing and most strategic parts of Amazon.Analytics & Insights owns the product, technology and deployment roadmap for advanced analytics and insights products across our advertiser success team. Advertiser success is core to Amazon’s growth, as it helps our suppliers drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are a highly motivated, collaborative and fun-loving team with an entrepreneurial spirit. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Marketers are looking for ways to better understand consumer needs and behaviors, in order to make sense of the decision-making process of customers. Understanding the “purchase journey” helps marketers cater to consumer needs and optimize their advertising spending, increasing the value of advertising for both advertisers and consumers.As a Senior Research Scientist on the team you will:· Take a leading role in defining the problem, innovating the ML/AI solutions and informing the roadmap.· Join a new and growing team of top-notch technical professionals working to develop and evaluate new advertising metrics based on petabytes of data.· Be a key driver of a cross-functional team, working closely with scientists and engineers in a daily basis.· Innovate machine learning solutions on behalf of our customers by prototyping, delivering functional proofs of concept (POCs), and partnering with our engineers to productize and scale successful POCs.Impact and Career Growth:You will invent new shopper and advertiser experiences, and accelerate the pace of Machine Learning and Optimization.Influence customer facing shopping experiences to helping suppliers grow their retail business and the auction dynamics that leverage native advertising, this role will be powering the engine of one the fastest growing businesses at Amazon.Define a long-term science vision for our ad marketplace, driven fundamentally from the needs of our customers, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams.This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding.Why you love this opportunity:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
US, CA, East Palo Alto
The New Programs Group within Amazon Fashion is looking for Applied Scientist to help redefine and build new, exciting experiences for customers shopping for apparel and related fashion products. We own services that enable personalized customer experiences for our customers while pushing the envelope through novel scientific research, advancing the state of art in the field of Computer Vision and Machine Learning. We’re looking for a thought leader to lead the charge with cutting edge research and application of machine learning to address the unique and ambiguous problems in our space. You will work with talented peers in a team that provides opportunities to innovate in a start-up mode, partner with business teams to deliver customer experiences that disrupt status quo.The ideal candidate is a strong, creative and highly-motivated Scientist with hands-on experience in leading multiple research and engineering initiatives. You balance technical leadership with strong business judgment to make the right decisions about technology, tools, and methodologies. You excel in translating broader business objective into Machine Learning science formulations, research for potential solutions or invent new solutions for the objective. You strive for simplicity, demonstrate high judgment backed by sound statistical reasoning and robust machine learning models to deliver creative solutions. You do independent research and develop non-trivial Machine Learning solutions. You mentor and lead scientists and engineers, contribute to Amazon's Intellectual Property through patents and/or external publications.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications.· Develop and/or apply Machine Learning models (e.g. Deep Neural Networks), optimization methods, and other ML techniques· 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.To know more about Amazon science, Please visit https://www.amazon.science
US, PA, Pittsburgh
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As a Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.Position 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.
US, WA, Seattle
The Worldwide Defect Elimination (WWDE) organization in Customer Service drives Amazon towards a defect-free customer experience (CX) by building technology that rapidly identifies and remediates defects, associates them with the information required to resolve the root cause, and prioritizes multitude of improvement opportunities based on customer and business needs. Defect elimination is the upstream solution to achieve perfect CX. A defect when it occurs, causes customer frustration and makes it Amazon’s responsibility to offer appropriate remediation to earn the customer’s trust back leaving little to no margin for error. Finding the right balance between the Concessions offered to revive the CX, compliance to fiscal responsibility and increasing loyalty is a hard problem to solve requiring extensive qualitative analysis and complex computational science. The true goal of WWDE is to eliminate such defects. To achieve this, we must understand what our customers are saying. Our customer feedback is often in free form language and unstructured including Customer Service contacts, product reviews, and social media posts, requiring advanced engineering and science to derive insights. We are looking for a science leader to lead identification and attribution of defects as well as data driven optimization of remediation to earn the customer trust back. You will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will attract top talent, build and lead a high functioning science organization. In this role, you will partner with engineering, product and economist teams to build state of the art ML techniques to improve CX. You will experiment with massive data, work on challenging problems, implement and deploy your ideas at scale, and understand whether they succeed via statistically relevant experiments. You will foster an open and continuous learning environment where your team can pursue ambitious, long-term research, challenge assumptions, work on problems that haven’t been solved before, and publish research while delivering results
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Applied Scientist IILocation: 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
IN, HR, Gurgaon
At Finance Automation, we are passionate about building systems and services that deliver a seamless and transparent finance experience for Amazon partners. We are responsible for building the systems that automate and orchestrate the services and financial transactions that supports Amazon customers and vendors worldwide. We build, operate, and scale systems that are responsible for hundreds of billions of dollars in transactions, and are central to the success of Amazon and its partners.We are looking for an experienced and curious data scientist with superior analytical skills to help us learn more about our data and find opportunities to delight customers with data driven insights. This position is uniquely positioned in the team as we have a growing need for looking around corners, prioritize opportunities using data driven insights and solution these opportunities using different Machine Learning and AI techniques.You will be diving deep into our data and have a strong bias for action to quickly produce high quality data analyses with clear findings and recommendations. As part of our journey to learn about our data, some opportunities may be a dead end and you will balance unknowns with delivering results for our customers. The ideal candidate is a hands-on data scientist that enjoys working with others, learning, and operate with a long-term ownership focus.Open to Hyderabad and Gurgaon locations.
GB, Cambridge
Do you want to work on some of the most innovative Text-to-Speech technology in the industry? Well, you’ve come to the right place. We are looking for am Applied Scientist to help scale up new voices and styles in Alexa TTS.With a projected 100+ voices being developed in the next two years using technologies such as Polyglot and Data Reduction , the UX Designer will be a key figure in facilitating the curation, cleaning, processing, management, analysis, modelling, and user benchmarking of the terabytes of speech data for Alexa.A day in the lifeNo two days are the same as a Applied Scientist in TTS Voices and Languages!You will be working in a dynamic, fast-moving environment, and operate at several different levels: one minute you’ll be applying the latest and greatest techniques in Deep Learning and Digital Signal Processing to improve the quality of our speech models, the next you will be running experiments and writing papers and patents or making prototype solutions production ready.You are responsible for developing novel techniques in TTS, and are expected to push the boundaries of quality and science,About the hiring groupThis role sits with TTS Accelerator, Voices and Languages team, and the goal of the team is to create natural, friendly and emotional voices for Alexa and Polly. The Voices and Languages team maintains high quality, life-like TTS voices from all continents across the globe, and develops novel solutions to scale our voice and language building.Job responsibilitiesDo you want to work on one of the coolest and most innovative pieces of technology in recent years? Come join us! We're the Text to Speech (TTS) team at Amazon. We build best-in-class TTS solutions and create magical experiences on Amazon's growing portfolio of speech products.We are looking for a passionate, talented, and inventive Applied Scientist with a strong background in Machine/Deep Learning and Software Development to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Text-to-Speech (TTS) in order to provide the best-possible experience for our customers. Your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our synthetic voices used by millions of customers every day.As an Applied Scientist on our team you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in speech synthesis. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech synthesis.This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.The ideal candidate will have experience with machine learning models and their application in AI systems. We are particularly interested in experience applying natural language processing, deep learning, and reinforcement learning at scale. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.