2019 Q2/Q3 AWS Machine Learning Research Awards recipients announced

The AWS Machine Learning Research Awards (MLRA) is pleased to announce the 13 recipients for the 2019 Q2/Q3 call-for-proposal cycle.

The AWS Machine Learning Research Awards (MLRA) provides unrestricted cash funds and AWS Promotional Credits to academics to advance the frontiers of machine learning (ML) and its applications. MLRA is pleased to announce recipients for its 2019 Q2/Q3 call-for-proposal cycles:

RecipientUniversityResearch title
David C. ParkesHarvard UniversityDeep Learning Framework for Optimal Economic Design
Fei LiuUniversity of Central FloridaMeeting Browsing with Multiple Granularities: Automatic Summarization and Keyphrase Extraction
Jeffrey LiuMassachusetts Institute of TechnologyIntegrating the Low Altitude Disaster Imagery (LADI) Dataset into the MIT Beaver Works Curriculum
Joseph F. CoughlinMassachusetts Institute of TechnologySemi-automated Eye Glance Annotation and Classification using AWS Enabled Tools
Karen LivescuToyota Technological Institute at ChicagoMultilingual Acoustic-Semantic Embeddings of Spoken Language
Katherine E. Battle and Andre PythonUniversity of OxfordA Bayesian Reinforcement Learning Algorithm to Predict the Risk of Malaria in Low-endemicity Context
Michael MahoneyUniversity of California BerkeleyEfficient Neural Networks through Systematic Quantization
Mohit BansalUniversity of North Carolina Chapel HillAuto-Adversarial Training to Make Dialogue Systems Robust to Human Errors
Philip ResnikUniversity of MarylandMachine Learning for Mental Health in a Secure AWS Data Enclave
Roghayeh (Leila) BarmakiUniversity of DelawareApplied Machine Learning for Social Development of Children with Autism
Scott LoarieiNaturalistLearning a Training Dataset for Large-scale Classification
Stefano ErmonStanford UniversityDetecting and Handling Anomalies with Robust Machine Learning Systems
Yong Jae LeeUniversity of California DavisReal-time Object Instance Segmentation

Congratulations to these researchers and we look forward to supporting their research!

MLRA is now funded though the Amazon Research Awards (ARA) program. Please see the AWS AI call for proposal for more information.

Research areas

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US, WA, Seattle
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US, NY, New York
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US, CA, Sunnyvale
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DE, BE, Berlin
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US, WA, Seattle
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US, VA, Herndon
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US, WA, Seattle
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ES, M, Madrid
At Amazon, we are committed to being the Earth’s most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon’s cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.You will be joining the EU Item Data Quality (EUIDQ) team. As part of InTech, EUIDQ strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to cutting edge big data and machine learning technologies, along to all Amazon catalog technology stack, and you'll be part of a key effort to improve our customers experience by tackling and preventing defects in items in Amazon's catalog.We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading machine learning solutions. As the successful applicant for this role, you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes, to scale existing systems and to improve catalog data quality, to name just a few. You will own the definition, training and validation of the machine learning models, and you will work closely with the software engineering team to deploy and operate these models at scale.Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount - and have a lot of fun - in the process!This position will be based in Madrid, Spain
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, WA, Seattle
Do you want to join Alexa Artificial Intelligence (AI) - the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world? If your answers to these questions are “yes”, then come join us at the Alexa AI team. Our mission is to democratize AI, starting with Alexa, by making it intuitive and efficient to build, integrate, and operate AI that enforces security and privacy as foundational primitives.With the Alexa AI team, you will be working alongside a team of experienced machine learning/deep learning scientists and engineers to build solutions to identifying critical elements in speech, text and image data.You will be expected to:· Develop scalable machine learning/deep learning algorithms/models for speech, text and image analytics· Invent algorithms for federated learning and weakly-supervised learning· Perform model/data analysis and monitor business metrics through online A/B testing· Help our team self-organize and follow machine learning best practices· Build relationships with customers and partner teams· Develop and mentor junior scientists
US, MA, Cambridge
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.As a Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.Position Responsibilities:· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.· Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.· Routinely build and deploy ML models on available data.· Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.
US, 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.