Addis Ababa, Ethiopia.png
Amazon @ ICLR 2020
April 26 - 30, 2020
Addis Ababa, Ethiopia

Overview

NOTE: Due to the global health emergency and pervasive travel restrictions, ICLR will be a fully virtual conference. Amazon researchers look forward to participating in the virtual sessions, with more details coming soon.

Amazon is proud to be a Gold sponsor of ICLR 2020.

About ICLR: The Eighth International Conference on Learning Representations is the premier gathering of academic and industrial researchers, entrepreneurs, engineers and graduate and postdoc students dedicated to the advancement of representation learning, or deep learning.

Research presented and published at ICLR covers all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

Website: https://iclr.cc/Conferences/2020

Keynote speaker

Amazon program organizing committee

  • Area Chair
  • Area Chair
  • Kevin Jamieson
    Area Chair
  • Bo Li
    Area Chair
  • Qun Liu
    Area Chair
  • Andre Martins
    Area Chair
  • Jane Wang
    Area Chair
  • David Wipf
    Area Chair
  • Adam White
    Area Chair

Workshops

ML-IRL @ICLR 2020
April 26
Accepted Paper: Towards Classification Parity Across Cohorts | Aarsh Patel, Rahul Gupta, Mukund Sridhar, Satyapriya Krishna, Alok Aman, Peng Liu

Virtual poster sessions schedule

Variance Reduction With Sparse Gradients |Melih Elibol, Lihua Lei, Michael I. Jordan‎‎
Tues Session 4 (17:00-19:00 GMT)
Tues Session 5 (20:00-22:00 GMT)

A Baseline for Few-Shot Image Classification | Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto‎‎
Tues Session 4 (17:00-19:00 GMT)
Tues Session 5 (20:00-22:00 GMT)

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Shell Xu Hu, Pablo Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil Lawrence, Andreas Damianou‎‎
Mon Session 3 (12:00-14:00 GMT)
Mon Session 5 (20:00-22:00 GMT)

Meta-Q-Learning | Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola‎‎
Mon Session 4 (17:00-19:00 GMT)
Mon Session 5 (20:00-22:00 GMT)

Rethinking the Hyperparameters for Fine-Tuning | Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Wed Session 1 (05:00-07:00 GMT)
Wed Session 5 (20:00-22:00 GMT)

Robust Reinforcement Learning for Continuous Control with Model Misspecification | Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy Mann, Martin Riedmille
Mon Session 2 (08:00-10:00 GMT)
Mon Session 3 (12:00-14:00 GMT)

Automated Relational Meta-learning
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
Wed Session 4 (17:00-19:00 GMT)
Wed Session 5 (20:00-22:00 GMT)

Minimizing FLOPs to Learn Efficient Sparse Representations | Biswajit Paria, Chih-Kuan Yeh, Ian E.H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos
Mon Session 1 (05:00-07:00 GMT)
Mon Session 2 (08:00-10:00 GMT)

Network Deconvolution | Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermuller, Yiannis Aloimonos
Thurs Session 1 (05:00-07:00 GMT)
Thurs Session 5 (20:00-22:00 GMT)

Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History | Yiheng Zhou, Yulia Tsvetkov, Alan W Black, Zhou Yu
Wed Session 1 (05:00-07:00 GMT)
Wed Session 3 (12:00-14:00 GMT)

Stefano Soatto.png
Credit: UCLA Samueli
April 24, 2020
Amazon’s Stefano Soatto on how learning representations came to dominate machine learning.

Connect with us at ICLR 2020

Amazon scientists regret that they won't be able to meet with you in person at ICLR. If you would like to connect with one of our scientists, please contact ICLR2020@amazon.com.

Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.

Work with us

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US, CA, Sunnyvale
Ever wonder how you can keep the world’s largest selection also the world’s safest and legally compliant selection? Then come join a team with the charter to monitor and classify the billions of items in the Amazon catalog to ensure compliance with various legal regulations.The Classification and Policy Platform team is looking for outstanding Senior Applied Scientists to build technology to automatically monitor the billions of products on the Amazon platform. The software and processes built by this team are a critical component of building a catalog that our customers trust.You will have an opportunity to work with cutting edge machine learning algorithms on large datasets. You will need to build Amazon scale applications running on Amazon Cloud that both leverage and create new technologies to process large volumes of data that derive patterns and conclusions from the data.We are looking for highly motivated applied scientists and engineers interested in delivering the next level of innovation to product search for Amazon. As an Applied Scientist on the CPP team, you will be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers.Responsibilities include:· Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and apply document understanding· Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential· Working closely with Product Managers to expand depth of our product insights with data, create a variety of experiments, and determine the highest-impact projects to include in planning roadmaps· Providing technical and scientific guidance to your team members· Communicating effectively with senior management as well as with colleagues from science, engineering, and business backgrounds· Being a cultural leader that ensures teams are collecting, understanding, and using data to inform every decision that impacts our customersThe successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, a start-up mentality, excellent project management skills, and great communication skills.
US, CA, San Francisco
Envision being a member of a small, agile team where your ideas reach millions within months, not years. Picture working on groundbreaking consumer-facing products, where every single team member is a critical voice in the way we make decisions. Envision being able to use the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born amongst engineers, and come to life as the Digital mp3 Store, Cloud Player, and Prime Music ad-free streaming.In San Francisco we own and develop Amazon's core digital music experiences such as the Cloud Player music locker and the MP3 Store, which has a catalog of 25 million songs from all major music labels. Our music offerings are available in multiple countries, and our applications support our mission of delivering Your Music, Everywhere. We can be found on mobile and tablet platforms such as Kindle Fire, iOS, and Android as well as on Home and Auto platforms. We develop software in Java, C++, HTML5/JavaScript, Perl, Python, and various AWS technologies.We are located in downtown San Francisco in the heart of the financial district. We’re easy to reach by bike, bus, MUNI and BART.You are someone who enjoys diving deep into data to generating insights that will help drive business strategy while maintaining a customer focus. You will have demonstrated quantitative and qualitative experience with impact to a business, a track record of problem solving using software and analysis tools, and the desire to create and build new processes. You will be required to quickly gain a deep understanding of our BI platforms, database schemas, ETL’s, and business logic. You will partner with the Metrics and Data Platform team on metrics creation, data governance, QA, and requirements creation. This is a business facing role where supporting Product, Engineering, Merchandising, Marketing and Leadership teams with data analysis. You will help to optimize product and business strategies based on your findings.You are highly-motivated and thrive in an environment where problems are open-ended. You enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top. You see your mistakes as learning opportunities and continually look for ways to improve yourself, your team and your products. You understand that not all solutions come easily and don’t shy away from hard work to reach your goals. You are excited about the opportunity to engage in developing a top notch consumer web application and user experience.
US, WA, Seattle
The candidate in this role will own delivery of internal science products and solutions that help Amazon Devices make better decisions: forecasting, segmentation, financial incrementality, etc.A day in the lifeYou will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and productionalization.About the hiring groupWe are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer’s expectation. Our focus area is to build analytical frameworks that help the organization either access data, better understand the decisions customers are making and why, or assess customer satisfaction.Job responsibilitiesThe Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Customer Behavior team provides customer engagement support to the broader organization for Kindle, Fire, Echo, and emerging products – established and emerging countries, worldwide.We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a strategic partner to the product managers and engineers on the team.Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. This Data Scientist role is responsible for building quantitative systems and predictive models that are critical inputs to Amazon’s financial and operational planning. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, is motivated to build something that will eventually become a production software system, and possesses strong communication skills to effectively interface between technical and business teams.In this role, you will be a technical expert with massive impact. You will take the lead on developing our forecasting technology for key Devices metrics. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data science problems, building high quality, reliable, accurate, and consistent code sets that are aligned with our business needs.Key Performance Areas· Implement statistical or machine learning methods to solve specific business problems.· Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.· Directly contribute to development of modern automated forecasting systems· Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance· Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedbackAmazon 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, Santa Monica
Are you seeking an environment where you can drive innovation? The Consumer Finance Science and Analytics (CFSA) team's mission is to inject advanced quantitative techniques into traditional financial analytics. We are data leaders, who identify and deliver actionable financial analyses and recommendations.As we expand our transportation footprint, Amazon faces important questions, including how can we identify and influence controllable factors to reduce transportation costs while driving the Amazon flywheel? CFSA is partnering with the Supply Chain Optimization Technologies (SCOT) finance team, who is dedicated to answering these questions using statistical and machine learning methods.Amazon is looking for the next outstanding Sr. Data Scientist to help build a brand new product – TRACE (Transportation Cost Explainer) led by SCOT. They will partner with a team of finance specialists, economists and business intelligence engineers to build models that explain Amazon’s transportation costs and decompose them into controllable and non-controllable levers.Our scientists raise the bar on our ability to fulfill promises to customers and business leaders at greater speed and value through:· Working with technical and non-technical stakeholders across every step of science project life cycle.· Collaborating with our dedicated finance, product, engineering, and software development teams to create production implementations for large-scale data analysis.· Developing an understanding of key business metrics / KPIs and connecting them to levers that that shapes management decisions.· Presenting research results to our internal research community.· Leading training and informational sessions on our science and capabilities.
US, NY, New York
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!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, WA, Seattle
Amazon Games applies the principles of Amazonian culture to the world of game design. We’ve got a diverse team of talented, creative people pairing their love of making games with all the unique strengths of being part of Amazon. Across all our teams and locations, we’re united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games—and we’re looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you’ll have the chance to innovate in gameplay, creativity, and technology, while working alongside some of the smartest and most creative minds in the industry.Want to build models which deliver immediate business impact? Come work directly with partners and business leaders to grow Prime Gaming by delivering data-driven insights that help leadership optimize content and perceived value to our customers!This role allows you to influence the frontier of business development and will challenge you to master complex data sets, use programmatic evaluation and / or econometric models to address complex problems, design and test hypotheses, and build automated decision-making systems. You will work at the intersection of Business Intelligence, Fraud Prevention, Content and Operations, Marketing, and Finance teams to collaborate cross-functionally with scientists, analysts, engineers, and product leaders.An ideal candidate is an experienced, resourceful, and independent problem solver who can deploy scalable and sophisticated scientific solutions under challenging time constraints. If you have these skills and are excited about making a big impact in the gaming industry, we are looking for you!KEY RESPONSIBILITIES· Use the breadth of Amazon's available data to drive insights and recommendations for business leaders in growing the Prime Gaming business.· Partner with senior leaders to identify opportunities to test hypotheses that can drive customer acquisition, engagement, or retention.· Own the end-to-end execution of research projects from project planning, data ingestion, exploratory analysis, model development, and productionization in collaboration with a team of scientists, analysts, and engineers.· Advocate for broader understanding of scientific methods and analysis within a fast-moving business organizationAbout Amazon GamesAmazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.Inclusive Culture, Work/Life Balance, & Career GrowthHere at AWS, we embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
CA, ON, Toronto
Passionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.A day in the lifeSome things you'll do in this role:Work closely with other scientists and engineers to architect and develop the best technical design and approach.Be a hands-on technical leader, developing novel algorithms and applications to solve hard problemsDeliver with independence on challenging large scale problems with significant ambiguityWrite cogent summaries of your work, accessible to other science and business leadersAbout the hiring groupPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Job responsibilitiesPassionate about Machine Learning, Causal Inference, and Big Data Systems? Interested in building new state-of-the-art measurement products at petabyte scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day).You'll be one of the scientists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You and you team will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.Some things you'll do in this role:· Work closely with other scientists and engineers to architect and develop the best technical design and approach.· Be a hands-on technical leader, developing novel algorithms and applications to solve hard problems· Deliver with independence on challenging large scale problems with significant ambiguity· Write cogent summaries of your work, accessible to other science and business leadersWe are open to hiring this role in Boulder/Denver, Chicago, Toronto, Santa Monica, Arlington, Jersey City/NYC, Austin, and Seattle#madsjob#sspajobsAmazon is committed to providing accommodations at all stages through recruitment and employment in accordance with applicable human rights and accommodation legislation. If contacted for an employment opportunity, please advise Human Resources if you require accommodation, including in order to apply for a position.
US, WA, Seattle
Voice-driven AI experiences are finally becoming a reality and Amazon’s Alexa voice cloud service and Echo devices are at the forefront of this latest technology wave. We deliver world-class products on aggressive schedules that are used every day, by people you know, in and about their homes. At the same time, we obsess about customer trust and ensure that we build products in a manner that maintains our high bar for customer privacy. We are looking for a passionate and talented Applied Scientist with experience in delivering production systems based on innovative research. This is a unique opportunity to play a key role in an exciting, fast growing business. You will be working on one of the world's most cutting edge customer experience and technology.A day in the lifeYou will be researching algorithm and runing experiments to test scientific propsoal/solutions to improve our sensitive contents detection and mitigation. This will involve collaobration with partener teams including enginering, PMs, data annotators, and other scientitists to discuss data quality, policy, model development, performance evaluation.About the hiring groupThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio and video.Job responsibilitiesYou'll design and run experiments, research new algorithms, and find new ways of optimizing customer experience. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally.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.
CN, 31, Shanghai
The Household Organization (HHO) team builds the conversations you and your family have with Alexa that help you get and stay organized. Millions of customers use our products to manage their time, get things done, and access and manage their personal information with their voice.We are making Alexa smarter and more personalized and are proud to do this in a privacy first way. We are looking to hire a machine learning scientist with expertise in NLP, differential privacy and data generation.
US, CA, Palo Alto
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.Senior Data Scientist (technical leader) on this team you will:· Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.· Lead Data Science solutions from beginning to end.· Deliver with independence on challenging large scale problems with ambiguity.· Manage and drive the technical and analytical aspects of Advertiser segmentation; continually advance approach and methods.· 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.· Apply statistical or machine learning knowledge to specific business problems and data.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose solution for the business problem you defined· Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.· Utilize code (python or another object oriented language) for data analyzing and modeling algorithms.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, WA, Seattle
Job responsibilities“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.”Please visit https://www.amazon.science for more informationDo you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for our India Consumer Businesses. The team builds the next generation of Machine Learning services for a wide spectrum of problems in areas such as Catalog Quality, Recommendations, Search Relevance, Online Ads, Pricing, Demand/Forecasting, and Conversational Systems.The Manager, Machine Learning role at Amazon will be a technical team leader working to develop new challenging machine learning applications, services and platforms that optimize Amazon’s systems using cutting edge quantitative techniques. This is one of the most exciting machine learning job opportunities on the internet today. If you have deep technical know how in machine learning, know how to deliver, are highly innovative, are passionate about leading and growing a team with a combination of applied scientists and engineers and are long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to 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, NY, New York
Amazon is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Speech and Language technology.Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in all areas of human language technology: ASR, MT, NLU, text-to-speech (TTS), and Dialog Management, in addition to Computer Vision.Inclusive 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.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.
US, NY, New York
Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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.Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.The Supply team (within Sponsored Products) is looking for an Applied Scientist to join a fast growing team with the mandate of creating high-visiblity ad experiences that engage shoppers at the point of entry on Homepages and elevate the experience for hundreds of millions customers worldwide. The Applied Scientist will take end-to-end ownership of driving new product/feature innovation by applying advanced statistical and machine learning models. The role will handle peta bytes of unstructured data (images, text, videos) to extract insights into what meta data can be useful for us to highlight to simplify purchase decisions, and propose new experiences that increase shopper engagement.As an Applied Scientist in Sponsored Products, you will:· Conduct hands-on data analysis, build large-scale machine-learning models· Work closely with software engineers to help deploy models into production.· Run regular A/B experiments, gather data, perform bespoke statistical analysis, and communicate impact to senior science and product leaders· Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving· Provide technical leadership and research new machine learning approaches that drive scientific innovation.· Work closely with product management to proactively identify opportunities where cutting edge science and research can help improve customer experience.· Collaborate with other scientists, mentor junior scientists (both within and outside of this team), and publish innovative work through multiple avenues within the Amazon Science Community.· Be an active member of the Amazon-wide Machine Learning Community, participating in internal and external conferences and events.· Help attract and recruit technical talent.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 self-service performance 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, East Palo Alto
DescriptionAWS Analytics is looking for scientists and engineers to invent the future of its cloud offerings. As a Senior Applied Scientist, you will have the fortunate opportunity to listen to a wide variety of customer problems, to imagine new capabilities that extend the state of the art in algorithms and machine learning, to implement and test your solutions on enormously large datasets, and to participate in the scientific community through patents and publications.Inclusive 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.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.
US, MA, North Reading
The Research and Advanced Development team at Amazon Robotics is seeking passionate, hands-on scientists to work on cutting edge algorithms to power automation in Amazon’s order fulfillment and transportation network. Our multi-disciplinary team includes scientists with backgrounds in AI planning and scheduling, robotic grasping and manipulation, machine learning, and operations research. We work on problems such as:- Dynamic allocation and scheduling of tasks to thousands of robots- Learning how to manipulate all the products that Amazon sells- Planning and coordinating the paths of thousands of robots- Co-design of robotic logistics processes and the algorithms to optimize themThe ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!
US, WA, Seattle
Do you want to know about new movies and TV shows that you'll enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watchA day in the lifeAt the end of the day, you will be innovating and experimenting in a complex technical and business space - dealing with Amazon scale, different types of video assets (Movies, TV Shows, Live Sports, Short Videos) and balancing various business offerings (Prime, Third party channels) - positively impacting millions of customers worldwide.About the hiring groupDo you want to know about new movies and TV shows that you'll enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watchJob responsibilitiesDo you want to know about new movies and TV shows that you'll enjoy the day they come out? So do millions of our customers, world wide. Did you know we have a wide range of niche content including Natural Park documentaries, Kung-fu movies, or Korean dramas on our service? No? Well, we're looking to change that. Come be part of history, as we fulfill Prime Video's vision of being customer's first place to find something to watchWe're using cutting edge approaches such as graph convolutional networks (GCNs) to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external ML conferences (e.g. https://dl.acm.org/citation.cfm?id=3292500.3330675).At the end of the day, you will be innovating and experimenting in a complex technical and business space - dealing with Amazon scale, different types of video assets (Movies, TV Shows, Live Sports, Short Videos) and balancing various business offerings (Prime, Third party channels) - positively impacting millions of customers worldwide.If you are ready to truly make an impact on a product that is used by millions of people around the world, including your own friends and family, then we would love to talk to 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
“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.”Please visit https://www.amazon.science for more informationAmazon Exports and Expansion builds new experiences which help our customers across the world access the benefits of shopping on Amazon to find products sourced locally for them or exported from other Amazon marketplaces. Do you want to improve how shoppers around the world discover and purchase products that delight them?We are looking for a customer obsessed Applied Scientist who can apply the latest research, state of the art algorithms and machine learning to build highly scalable systems in the international e-Commerce space. Right candidate will develop algorithms and models to handle unique cross border shopping problems such as improving selection data quality, improved product discovery or offering scalable, highly localized customer experience to name few.Does the challenge of AI solving some of the pain points of millions of international shoppers from 100+ countries, in multiple currencies and excite you? Have you ever wanted to work on machine learning problems that will make a lasting impact, solving key problems that impact the experience of millions of Amazon customers? If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.As a member of our team you will develop and evaluate machine learning models using large data-sets, cloud services, customer behavior, transactional history to improve our customer’s experience. Working closely with best-in-class engineers you will have the opportunity to apply a variety of machine learning algorithms, including deep learning, and work on one of the world's largest data sets to influence the long term evolution of our technology roadmap. You will need to be entrepreneurial, able to deal with ambiguity and work in a highly collaborative environment.
US, WA, Seattle
Join the Amazon Web Services (AWS) Worldwide Specialist Sales Organization (WWSO)! AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We are reshaping the way organizations use information technology and we are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.As a Data Scientist, you will be expected to work directly with senior management within the WWSO on key business problems. Scientists at Amazon use statistical and Machine Learning models to address complex problems, design and test hypothesis, and contribute to the design of automated systems. We are looking for a results-driven scientist to join our team in Seattle. The right candidate will work closely with other data scientists, data engineers, and business analysts.The key objectives for this role include:· Building statistical and ML models to evaluate the productivity of WWSO, and the effectiveness of its sales activities, among other questions.· Conducting all phases of research projects, including defining research questions, working with multiple data sources, building and evaluating competing models, and interpreting and communicating the results.· Providing data-driven and business-relevant recommendations based on your findings.
US, WA, Seattle
Amazon Transportation Services is seeking an Applied Scientist to be part of a team solving complex transportation operations problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring optimization modeling, statistical modeling, simulation modeling, and machine learning advancements to data analytics for customer-facing solutions in complex transportation and supply chain settings.You will work closely with product, research science, business/operations and technical leaders throughout ATS Linehaul, Sort Centers, Air, Amazon Delivery and Last Mile Technology and Supply Chain Optimization teams and will be responsible for building capabilities at the intersection of these groups to optimize the performance of the end to end transportation supply chain. This will include analyzing large amounts of business data, building end-to-end data pipelines, models and production code, and building the optimization, machine learning and/or simulation engine capabilities that will enable us to improve end to end Amazon transportation supply chain performance. The end to end component makes this a unique role as you will be developing an integrated vs siloed solution. This role has exposure to senior leadership as we communicate results and provide scientific guidance to the business. Your insights will also be key to influencing funding decisions in areas of investment that you identify as critical future product offerings.The ideal candidate will have extensive experience in Science work (with a focus on optimization and/or simulation), business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.Tasks/ Responsibilities:· Partnership with the engineering and operations to drive modeling and design for complex business problems.· Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.· Contribute to the short and mid end to end Amazon Transportation wide planning studies and analysis.· Lead complex transportation modeling analyses to aid management in making key business decisions and set new policies.
CA, ON, Toronto
Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer service? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for data scientist to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience.If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.Major responsibilities· Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes· Design structured, multi-source data solutions to deliver the dashboards and reports that make data actionable· Establish scalable, efficient, automated processes for large scale data analyses, ML/Statistics model development, model validation and model implementation· Preprocess and analyze unstructured text data by NLP techniques to understand customer needs and product enhancement· Conduct A/B test experiment and deliver causal inference statistical recommendation to support product dial-up decision· Support data analysts and product managers by turning business requirements into functional specifications and then executing delivery· Lead the technical lifecycle of data presentation from data sourcing to transforming into user-facing metrics