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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IL, Tel Aviv
Job summaryAmazon 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, Amazon Echo and Halo.What will you help us create?Key job responsibilitiesYou will be part of a world-class Computer Vision team tasked with solving huge business problems through innovative technology and focus on product industrialization.We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. 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.Major responsibilities:· Research, design, implement and evaluate novel computer vision algorithms· Work on large-scale datasets, focusing on creating scalable and accurate computer vision systems in versatile application fields· Collaborate closely with team members on developing systems from prototyping to production level· Collaborate with teams spread all over the world· Work closely with software engineering teams to drive scalable, real-time implementations· Track general business activity and provide clear, compelling management reports on a regular basis
US, WA, Bellevue
Come join the Alexa team, building the speech and language solutions behind Amazon Echo and other Amazon products and services! You will help us invent the future.As a Senior Applied Scientist of the Alexa AI - Alexa Data Services Team, you will research and create models, improve models for natural language processing and speech recognition problems.You will gain hands-on experience with Amazon’s heterogeneous structured data sources; as well as large-scale computing resources to accelerate advances in training deep neural networks for natural language understanding and automatic speech recognition on thousands of hours of speech. You will be leading on solving highly visible and impactful business problems in areas of new product development, automation, self-service solution and quality improvement, to continue delight Alexa customers and help driving Amazon business performance.The ideal candidate is clearly passionate about delivering experiences that delight customers and creating solutions that are robust. Creating reliable, scalable and high performance products requires exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning.We value academic collaborations and encourage our scientists to publish in top conferences such as NIPS, ICML, ICLR, KDD etc. and do open source contribution.As a Senior Applied Scientist in the team, you’ll mentor and develop other scientitsts in the team, drive cross team collaborations with partner science teams in NLU, ASR and Conversational AI organizations. You’ll also help the team and the management define the roadmap for the the science team and the sister platform team. You’ll drive science best practices across multiple team and within the organization.(S)He should thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. (S)He will be expected to balance detailed execution with speed and possess solid collaborative skills. (S)He will be working in a fast-paced environment where every day brings new challenges and new opportunities. (S)He should have excellent business and communication skills and be able to work with business owners to develop and define solutions. This position involves regular communication with senior management on project status and risks. Cross-team coordination, project management, and executive presentation skills are essential.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, CA, Cupertino
Amazon's Simple Storage Service (S3) offers industry-leading scalability, data availability, security, and performance. S3’s Automated Reasoning Group (S3-ARG) develops and applies automated reasoning techniques to deliver correct, secure, durable, and available distributed systems and storage services. S3 is complex: it consists of hundreds of micro-services each of which is a distributed system. With a very large number of servers and 10s of millions of requests per second, it is also highly concurrent. S3 has a sizable codebase, developed and maintained by a large team of engineers. Getting such a complex and fast-evolving system right requires developing cutting edge automated reasoning methods that are continuously integrated into the software development process. This is what our team does.We work on techniques ranging from deductive proofs to model checking, from static analysis to runtime verification of protocols. We work both at the design and the code level, and connecting the two is essential for us. We partner with development teams to make sure that our methods are deployed across S3 and that correctness is maintained as the software evolves. We have had significant success with adoption and we are key contributors to recent S3 launches such as strong consistency. We are developing innovative methods all the time. We publish our results at conferences and journals.We are a diverse team and are looking for teammates who are enthusiastic to work on these problems and further the state of the art with us. We are seeking candidates who are deep in one area of expertise but also broad enough to take on the most complex cloud computing challenges. If you are interested in exploring, please e-mail s3-arg-jobs@amazon.com.About UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.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
The Amazon Devices Digital Privacy group is looking for data scientists to join us. As a data scientist in Devices you will apply state of the art data science to develop privacy-related insights into data, and raise the bar for respectful design. You will build prototypes and explore new solutions. You will lead high-impact privacy work that centers respect for customers and their data. You will be at the heart of a passionate community of privacy experts, and work with acclaimed engineers, passionate privacy advocates, and renowned scientists.You are someone who cares deeply about privacy and customer trust, with solid expertise in statistics and/or machine learning. You can work in a space where both problems and solutions are sometimes not well defined. You constantly push the boundaries of your own knowledge, and enjoy teaching others. You are pragmatic and focus your work based on the needs of the customer and the business.A day in the lifeYou work daily with product and tool teams to help them understand their privacy stance through principled measurement and data exploration. You're always on the look out for repeatable patterns where ML can be applied to scale privacy processes. You work with other data scientists to craft and document tools and best practices.About the hiring groupThe Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. We integrate privacy enhancing technologies, like end-to-end encryption. What will you help us create?Job responsibilities· Apply state of the art data science to develop privacy-related insights into data, such as re-identifiability, linkability, and more· Build data science prototypes to solve privacy-related problems· Collaborate with engineering teams to bring solutions to productionAmazon 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.
IN, TS, Hyderabad
ATE Team is seeking a Data Scientist to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Data Scientist will work closely with other Data Engineers, Product Managers, Business Intelligence Engineers and other Research Scinetists to design and run experiments, research new algorithms, and find new ways to improve operations analytics to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon worldwide.About the hiring groupATE is responsible for creating core analytics tech capabilities and data engineering across IN&ECCF. It comprises of platforms, automations, science modelling, data engineering and PerfectMile development. In 2021, the team is targeting to complete the practice parity on analytics tech services across IN&ECCF, and answer the needs of our customers which cannot be solved by existing global tech services/resources, including build up data visibility, add analytics values, improve operator’s efficiency and remove manual efforts when possibleJob responsibilitiesThe key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on last mile delivery dynamics.· Drive actions at scale to provide low prices and increased selection for customers using scientifically-based methods and decision making.· Helping to build production systems that take inputs from multiple models and make decisions in real time.· Automating feedback loops for algorithms in production.· Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations· Communicating with and supporting various internal stakeholders and external audiences· Utilizing Amazon systems and tools to effectively work with terabytes of data.· Partnering with Tech team and collaborating Tier-1/2 Services engineering
US, MA, Boston
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.Amazon Robotics, a wholly owned subsidiary of Amazon.com, empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.AR is seeking uniquely talented and motivated data scientists to join our Global Services and Support (GSS) Tools Team. GSS Tools focuses on improving the supportability of the Amazon Robotics solutions through automation, with the explicit goal of simplifying issue resolution for our global network of Fulfillment Centers. The candidate will work closely with software engineers, Fulfillment Center operation teams, system engineers, and product managers in the development, qualification, documentation, and deployment of new - as well as enhancements to existing - operational models, metrics, and data driven dashboards. As such, this individual must possess the technical aptitude to pick-up new BI tools and programming languages to interface with different data access layers for metric computation, data mining, and data modeling.This role is a 6 month co-op to join AR full time (40 hours/week) from January – June 2022.The Co-op will be responsible for:· Diving deep into operational data and metrics to identify and communicate trends used to drive development of new tools for supportability· Translating operational metrics into functional requirements for BI-tools, models, and reporting· Collaborating with cross functional teams to automate AR problem detection and diagnostics
DE, BE, Berlin
Are you excited about building Robotics AI technology that works seamlessly with and around people? The Robotics AI team at Amazon is building high-performance, real-time robotic systems that can perceive, learn and act intelligently alongside humans, at Amazon scale.To this end, we are seeking an experienced Applied Science Manager who is interested in leading a team of Applied Scientist to bring Computer Vision innovations to Fulfillment Centers. We work on machine learning, planning, control, simulation and computer vision applied to robotics, particularly to manipulation and item understanding. We are expanding our Berlin team to meet the huge application demand in Amazon.Key responsibilities:· Lead a team of Computer Vision experts and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems.· Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.· Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.· Report results in a scientifically rigorous way.· Collaborate closely with stakeholders on developing systems from prototyping to production level.
US, CA, San Diego
Job summaryAmazon.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 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 economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising 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.Key job responsibilitiesAt Customer Trust and Partner Support, we work hard to build trust with both Amazon Customers and Selling Partners. The role offers a unique opportunity to work in a fast growing business at an intersection between Customers and Selling Partners. You will work on a central economist team focused on building scalable analytical solutions for shaping the strategies of the business.We are looking for a seasoned Economist who has a deep and broad analytic background, and is passionate about helping business to make data- and science-based decisions to make a real difference. Experience in applied analytics is essential, and you should be familiar with modern tools for data science and business analysis. We seek creative thinkers and practical doers who can think big and who can also roll up sleeves and execute on these big ideas.A day in the lifeAs a senior economist on the team, you will partner with our business and engineering partners to deliver innovative modeling solutions to help Selling partners and Brands to thrive on Amazon and to ensure a smooth and trustworthy experience for our Customers. This is an opportunity for a high-energy individual to bring economics and Machine Learning techniques into real world applications, to build scalable solutions to systematically deliver impacts to millions of Customers and Selling Partners, and to communicate insights to business and leadership.About the teamAt Selling Partner Risk Econ team, Economists and scientists create science- and data-based solutions at scale for evaluating and optimizing programs for safeguarding consumers against potentially risky sellers and products, and for designing mechanisms to encourage good behavior and deter bad behavior of Amazon sellers.
US, WA, Seattle
Job summaryThe Core AI team uses Machine Learning, Economics, Statistics to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon.We are looking for an outstanding applied scientist who is able to provide structure around complex business problems, develop and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into products, policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong machine learning and big data toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.We are particularly interested in candidates with research background in computer vision, deep learning, edge compute, distributed compute, and big data technology. However, we want to talk with any experienced economist with an interest in working on an interest in working on innovative, strategic problems with significant business impact.
US, MA, North Reading
Job summaryAre you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.What you’ll do:We seek a talented an autonomous data scientist who possess a combination of analytical, problem solving, technical, and communication skills to optimize and solve performance problems across Amazon Robotics different solutions. The Data Scientist will be comfortable thinking out-of-the-box to deliver insights, recommendations, and predictive power to an audience of varying levels of technical sophistication. This person will work within a team setting among Business Intelligence and Data Engineers and will act as a mentor and technical expert within the team. A successful candidate will be a self-starter, comfortable with ambiguity, and be able to create efficient & automated processes. They are capable of prioritizing multiple deliverables and effectively communicate progress and blockers.The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. Finally, this person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Key job responsibilities• Make recommendations for new metrics, apply analytical techniques, and build ML models to improve insights and risk for support and hardware engineers.• Seize opportunities to uncover hidden drivers, impacts, and key influences of the AR system by applying optimization/statistical/machine learning methods to complex and ambiguous problems.• Lead technical aspects of experimental design in collaboration with AR partner teams and Operations.• Collaborate on Dashboard development with BIE team to promote or communicate new findings.• Ability to work in a highly collaborative environment with peers that have a range of technical aptitudes to understand business requirements and build analytical solutions to achieve key business goals.• Maintain an understanding of the latest trends in data science and machine learning.• Ability to document technical requirements, code comments, and compile white papers to relay technical methodology and key findings.
US, NY, New York
Job summaryAmazon 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. We optimize ad placements to match advertiser demand with publisher supply using a combination of machine learning, deep learning, and natural language processing (NLP), query reformulations, big data analytics, and low latency, high-volume systems. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive 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.The Sponsored Sourcing Delivery team owns Ads Searching, Selection and Ads matching systems that involve efficient information retrieval (IR) Search algorithms, query reformulations, Natural language processing, deep-learning algorithms to enable a superior shopper experience and render highly relevant products for shopper’s mission. As Applied Science Manager responsible for Sponsored Sourcing Delivery team you will take ownership of the technical roadmap and delivery of real-time, scalable machine learning models influencing ad selection, relevance and ranking models. You will enable applied scientists to experiment and innovate quickly with a diverse set of models, features and techniques in a high-volume, low-latency environment. The Sponsored search solutions play a key role in the Amazon’s ad serving workflow (selection, ranking and auction) and operate under highly optimized settings viz. scanning billions of documents within milliseconds budget and ensuring high relevance. So the level of quality and reliability are critically important. You’ll raise the bar on software delivery, researching and innovating new matching algorithms and solution quality by investing in Sponsored Products Search features, key initiatives, and technical improvements to optimize for business impact and long-term sustainability.As a Applied Scientist on this team, you will:· 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_6Lzw8raEAbout the teamThe Sponsored Sourcing Delivery team helps deliver billions of ad impressions and millions daily clicks daily. Our core charter revolves around building state-of-art machine-learning (ML) and natural-language-processing (NLP) methodologies to improve the search indexing & ranking mechanisms, which will directly improve the advertiser and shopper experience. We’ve been one of the fastest growing teams in Amazon in terms of business impacts launched and momentum continues. We’re a talented team of scientists and engineers working on complex and ambiguous problems, and we have an engineering-driven culture that influences business outcomes.
US, VA, Arlington
lobal Talent Management (GTM) owns a suite of products which help drive career development for hundreds of thousands of Amazonians globally. GTM Science utilizes a wide array of data sources to conduct analytics and create predictive models that fuel recommendations, actions, and insights within the software systems that support Amazonians throughout their employee journeys. The team itself is composed of scientists and engineers with diverse backgrounds and expertise, coming together to create innovative solutions to the problems faced by the one of the world’s largest and fastest growing workforces.This role will support the advancement of key workforce planning products owned by the team. You’ll lead a small team focused on forecasting inputs and outputs of the workforce planning process, helping leaders better understand the trajectory of Amazon’s workforce. You will do this by building econometric models, using world class data systems, and directly applying economic theory to solving business problems in a fast moving environment. You’ll work with other Scientists at Amazon developing new techniques, processing large data sets, addressing quantitative problems, and contributing to the design of automated systems around the company.If you’re interested in seeing your research and models get used regularly by thousands of Amazonians, and working in a large inter-disciplinary science team that helps to inform talent management decisions, this role is for you.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
Our team is passionate about Brands who sell on Amazon – we help them grow their businesses, build their story, and serve their customers. How do we do this? Data! Help us serve this valuable data to our Brands in digestible ways so they can run their businesses more effectively.Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.We are looking for an Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the e-commerce domain. As a member of our team you will develop and evaluate machine learning models using large data-sets and cloud services to drive the growth of Brand owners on Amazon. You will have the opportunity to research and implement novel ML and statistical approaches, apply a variety of machine learning algorithms, and work on one of the world's largest data sets to influence the long term evolution of our science roadmap. You will need to understand the business requirements and translate them into complex analytical outputs. You will research, design and improve on the models that impact Amazon’s customers directly. You will design tests to explain performance of the models from impact on customer and cost perspective. You should be able to present your model and findings to a various range of stakeholders.Responsibilities include:· Designing, implementing, testing, deploying, and maintaining innovative models and data and machine learning solutions to accelerate our business.· Creating experiments and prototype implementations of new learning algorithms and prediction techniques· Using machine learning and statistics techniques to create scalable solutions for business problems· Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Collaborating with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems
US, NY, New York
Amazon 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 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 Inventory Forecasting and Pricing team works on time series forecasting, auction theory, bid & allocation optimization for Amazon Advertising. The team consists of scientists and engineers who own end-to-end projects - data collection, analysis, ideation, and prototyping, to development, metrics and monitoring. The models and services are integrated directly with Amazon’s Ads eco system and the forecasts are used to drive key business decisions at the VP/SVP level. We are a team of Applied Scientists and Engineers, who are passionate about solving technical problems in the Ad Forecasting space with models using Machine Learning, Bayesian Statistics, etc. In this team, you will work on problems such include Auction Price Prediction, User Clustering, Time Series Forecast, and Demand Allocation/Optimization. You will join a group of highly talented PhDs with diverse background to design, prototype, and implement models to deliver impacts directly to customers. You will also have the opportunity to present your work in science communities and to leadership.As an Applied Scientist on this team, you will:· Build full life-cycle machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.· Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.· Work closely with software engineers on detailed requirements to productionize the ML models you build.· 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.· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.· Research new innovate machine learning approaches.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
Want to support our mission to build the most loved video service in the world? Help create the future of digital entertainment with Amazon! Amazon’s Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch including global hits like The Boys to award-winning favorites like the Marvelous Mrs. Maisel from Amazon Studios. Every day we face the challenges of a fast-paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.Prime Video is looking for a Data Scientist to join its marketing science and measurement team. Our team supports the marketing group in measuring efficiency and performance of their world-class campaigns. We take a data-driven approach to understand what marketing strategies resonate with our customers by utilizing statistical models, real-time analytics, and diving into the journeys our customers take after starting a Prime subscription.As a Data Scientist in this team, you will partner with business partners, economists, business intelligence engineers, and data engineers.You will bring data-driven insights to the team that impact the investments we make in paid advertising. You will have many opportunities to think big about ways we evaluate marketing performance and understand the interests of our customers. You will leverage analytics tools, A/B testing, and data science models.
US, CA, Cupertino
Amazon Web Services is looking for experienced Automated Reasoning Science Manager to join the AWS Identity Science team. You will be innovating, researching, and developing state-of-the-art automated reasoning techniques for various AWS Identity services and internal systems. On this team, you will help guide and lead team of scientists who invent and implement innovative solutions for never-before-solved problems. This is not solely a management role, you will be directly contributing to the research and development while you lead. If you have passion for automated reasoning with managing scientists, this will be an exciting opportunity.The AWS Identity team builds, operates, and innovates the identity, authentication, and authorization stack for the AWS cloud. As part of that mission, IAM Access Analyzer uses automated reasoning to reason about “who has access to what” for customers. This enables customers to set the right access controls confidently across their AWS environments. We looking for an Applied Science Manager who can work with product and engineering teams o deliver solutions to all AWS customers. You will drive innovations on a global scale and influence the direction of technology used by all AWS customers.Job responsibilities* Lead scientists and engineers on the team* Drive projects at various stages ranging from initial exploration to deployment into production systems.* Provide technical and scientific guidance to your team members.* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.* Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.* Report results in a scientifically rigorous way.* Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
US, CA, Palo Alto
Amazon Publisher Services (APS) helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app and advanced TV publishers of all sizes, including many of comScore’s global top 100, to help them monetize their content with demand from multiple programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds. The result is more profitable advertising for publishers and more relevant ads for customers.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, etc.) to analyze data and build statistical models to solve specific business problems.• 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_6Lzw8raEAmazon 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
Employer: Amazon.com Services LLCPosition: Data Scientist IILocation: Seattle, WAMultiple Positions Available:1. In collaboration with data scientists, research scientists and engineers, build models, tools, and support structures needed to dive deep into data, perform detailed analysis, and present findings to solve business problems.2. Work with business partners to communicate the intuition, implication and detail of analysis and incorporate feedback into projects.3. Manage medium-scale modeling projects, identify requirements, and build methodology and tools that are statistically grounded.4. Conduct quantitative research to solve methodological problems.5. Analyze historical data to identify trends and support decision-making.6. Help build production systems that take inputs from multiple models and make decisions in real time.7. Automate feedback loops for algorithms in production.8. Design, scope and size, and analyze field experiments at scale.9. Solve complex problems and select an ideal solution from a wide range of data science methodologies.10. Work with a diverse group of scientists on common objectives.11. Write research reports of high quality and present to senior leaders.12. Manage medium-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded.13. Collaborate across organizational boundaries.14. Domestic and/or international travel may be required 10% or less of the time.15. Telecommuting benefits available.16. Work can be performed from anywhere within the United States.#0000
GB, London
Come build the future of entertainment with us.Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.We are looking for a Senior Applied Scientist to join the Video Quality Analysis (VQA) team. In this role you will leverage your strong background in Computer Vision and Machine Learning to help build the next generation of automated audio/video analysis at Amazon scale. Our business growth exceeds the capacity for people to monitor 1000s of global broadcast channels, 50,000+ annual live events across a wide variety of video formats, encoder profiles and monitoring points. We need to teach computers to automate that job for us so our customers always have the best possible experience. This role requires a pragmatic technical leader comfortable with ambiguity, capable of delivering and summarizing complex data and modelsthrough clear visual and written explanations. The ideal candidate will have experience with machine learning models and audio/video/image processing domain experience. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.You will work as part of one of our Agile teams, launching and growing new initiatives for Amazon's global business. As an applied scientist, you will be involved in every aspect of the process - from research, idea generation, and data analysis through to development and deployment across a variety of technologies - giving you true ownership on the future of our products. Together we take on hard technical problems, and build systems which meet high standards of performance and operate at massive scale.Amazon is a place where we use science and engineering to solve problems. We're looking for scientists and engineers who can delight customers by continually learning and inventing. From day one, you'll be working with experienced engineers, machine learning experts and other applied scientists who love what they do.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
US, CA, Sunnyvale
Interested in Amazon Alexa? We’re building the speech and language solutions behind Amazon products and services. Come join us!As an Applied Scientist in Alexa AI, you will perform the duties of a research scientist and are also expected to be strong at implementing the algorithm. You are expected be an expert in machine learning approaches for conversational language and speech processing. Our mission is to innovate the state-of-the-art core technologies in these areas.Job responsibilities· Research, design, implement, analyze and evaluate novel algorithms for multimodal conversational AI using deep learning· Develop state-of-the-art algorithms, contribute to Amazon's Intellectual Property and publish at top-tier conferences· Collaborate closely with team members on developing algorithms and demonstrating them in systems including prototypes and productsAmazon 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.