2019 Q4 AWS Machine Learning Research Awards recipients announced

The AWS Machine Learning Research Awards (MLRA) aims to advance machine learning (ML) by funding innovative research and open-source projects, training students, and providing researchers with access to the latest technology. Since 2017, MLRA has supported over 180 research projects from 73 schools and research institutes in 13 countries, with topics such as ML algorithms, computer vision, natural language processing, medical research, neuroscience, social science, physics, and robotics.

On February 18, 2020, we announced the winners of MLRA’s 2019 Q2/Q3 call-for-proposal cycles. We’re now pleased to announce 28 new recipients of MLRA’s 2019 Q4 call-for-proposal cycle. The MLRA recipients represent 26 universities in six countries. The funded projects aim to develop open-source tools and research that benefit the ML community at large, or create impactful research using AWS ML solutions, such as Amazon SageMaker, AWS AI Services, and Apache MXNet on AWS. The following are the 2019 Q4 award recipients:

Congratulations to all MLRA recipients! We look forward to supporting your research.

RecipientUniversityResearch title
Anasse BariNew York UniversityPredictive Analytics and Artificial Intelligence for Social Good
Andrew Gordon WilsonNew York UniversityScalable Numerical Methods and Probabilistic Deep Learning with Applications to AutoML
Bo LiUniversity of Illinois at Urbana-ChampaignTrustworthy Machine Learning as Services via Robust AutoML and Knowledge Enhanced Logic Inference
Dawn SongUniversity of California, BerkeleyProtecting the Public Against AI-Generated Fakes
Dimosthenis KaratzasUniversitat Autónoma de BarcelonaDocument Visual Question Answer (DocVQA) for Large-Scale Document Collections
Dit-Yan YeungHong Kong University of Science and TechnologyTemporally Misaligned Spatiotemporal Sequence Modeling
Lantao LiuIndiana University BloomingtonEnvironment-Adaptive Sensing and Modeling using Autonomous Robots
Leonidas GuibasStanford UniversityLearning Canonical Spaces for Object-Centric 3D Perception
Maryam RahnemoonfarUniversity of Maryland, BaltimoreCombining Model-Based and Data Driven Approaches to Study Climate Change via Amazon SageMaker
Mi ZhangMichigan State UniversityDA-NAS: An AutoML Framework for Joint Data Augmentation and Neural Architecture Search
Michael P. KellyWashington UniversityWeb-Based Machine Learning for Surgeon Benchmarking in Pediatric Spine Surgery
Ming ZhaoArizona State UniversityEnabling Deep Learning across Edge Devices and Cloud Resources
Nianwen XueBrandeis UniversityAMR2KB: Construct a High-Quality Knowledge by Parsing Meaning Representations
Nicholas ChiaMayo ClinicMassively-Scaled Inverse Reinforcement Learning Approach for Reconstructing the Mutational History of Colorectal Cancer
Oswald LanzFondazione Bruno KesslerStructured Representation Learning for Video Recognition and Question Answering
Pierre GentineColumbia UniversityLearning Fires
Pratik ChaudhariUniversity of PennsylvaniaOffline and Off-Policy Reinforcement Learning
Pulkit AgrawalMassachusetts Institute of TechnologyCuriosity Baselines for the Reinforcement Learning Community
Quanquan GuUniversity of California, Los AngelesTowards Provably Efficient Deep Reinforcement Learning
Shayok ChakrabortyFlorida State UniversityActive Learning with Imperfect Oracles
Soheil FeiziUniversity of Maryland, College ParkExplainable Deep Learning: Accuracy, Robustness and Fairness
Spyros MakradakisUniversity of NicosiaClustered Ensemble of Specialist Amazon GluonTS Models for Time Series Forecasting
Xin JinJohns Hopkins UniversityMaking Sense of Network Performance for Distributed Machine Learning
Xuan (Sharon) DiColumbia UniversityMulti-Autonomous Vehicle Driving Policy Learning for Efficient and Safe Traffic
Yi YangUniversity of Technology SydneyEfficient Video Analysis with Limited Supervision
Yun Raymond FuNortheastern UniversityGenerative Feature Transformation for Multi-Viewed Domain Adaptation
Zhangyang (Atlas) WangTexas A&M UniversityMobile-Captured Wound Image Analysis and Dynamic Modeling for Post-Discharge Monitoring of Surgical Site Infection
Zhi-Li ZhangUniversity of MinnesotaUniversal Graph Embedding Neural Networks for Learning Graph-Structured Data

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


Work with us

See More Jobs
US, CA, Hawthorne
Do you want to lead a team that builds new technology and science used by millions of people?The Devices Engagement Personalization Science team is looking for an Applied Science leader who has a solid background in applied machine learning, a deep passion for building data-driven products, an ability to communicate data insights and scientific vision, and a proven track record of leading both applied and data scientists to execute complex projects and deliver high business impact.Personalized recommendations are a key feature for all Amazon tablets and we make it easier for customers to find the content that interests them. Examples include:Our onboarding videos and content suggestions are personalized for each customer.We suggest a set of videos, books, and apps for our users that are tailored for their specific interests.Our special offers and marketing campaigns are personalized.In this role, you will:· Lead a team of talented applied scientists and data scientists to deliver production level, customer facing ML solutions that empower our software to make the best set of suggestions.· Work closely with product and technology leaders across the organization.· Develop a science roadmap and collaborate with stakeholders.· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.· Hire and develop top talent and provide technical/career development guidance to both scientists and engineers in the organization.
US, WA, Seattle
Work at the intersection of data science and economics.The DAC AdsEcon Team is looking for a Data Scientist III to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data.Advertising is used daily to surface new selection and provide customers a wider set of product choices along their shopping journeys. The business is focused on generating value for shoppers as well as advertisers. Our team uses econometrics, machine learning, and data science to help advertisers choose the right advertising product to meet their marketing goals. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.If you have a background in economics, computer science, statistics, or mathematics and have a passion for solving large, and impactful problems, this is the job for you. Key responsibilities of Data Scientist include the following:· Partnering with economists and senior team members to drive science improvements and implement technical solutions at the cutting edge of machine learning and econometrics· Helping build data systems that leverage diverse data sources to understand how different advertiser’s decisions impact their performance across multiple advertising products.· Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across Amazon.About Amazon's Advertising business:Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
US, WA, Seattle
We are growing our collaborative group of engineers and applied scientists by expanding into new areas. Come and join us as we invent new ways to delight Amazon customers.Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products.As Launch Day Search Quality you will be the single threaded owner who will hire and grow a new team to drive improvements and mechanisms for Global Search Quality in (to-be-launched) international locales. You will invent mechanisms to evaluate and launch improvements for locales with a vast variety of languages, traffic patterns, cultures and preferences. You and your team will invent novel techniques that improve state of the art systems for low resource settings. You will invent and deploy techniques that work across languages, locales and different shopping modes.Do no hesitate to reach out if you have some of the following: ability to apply state of the art in large scale Machine Learning (e.g. semi-weakly-un-supervised deep learning, natural language understanding, self-supervised learning), curiosity to learn through controlled experimentation and/or experience with low latency production systems.You and your team will be able to deliver measure your impact for customers of the most popular shopping destination on this planet.We are an inclusive employer and value diversity at Amazon. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.scijobs
US, WA, Seattle
We are growing our collaborative group of engineers and applied scientists by expanding into new areas. Come and join us as we invent new ways to delight Amazon customers.We are Amazon's Global Search Quality team. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products.As an. Applied Scientist you will push boundaries in query understanding, semantic matching (e.g. is a drone the same as quadcopter?), relevance ranking (what is a "funny halloween costume"?), language identification (did the customer just switch to their mother tongue?), machine translation (猫の餌を注文する).Do no hesitate to reach out if you have some of the following: ability to apply state of the art in large scale Machine Learning (e.g. semi-weakly-un-supervised deep learning, natural language understanding), curiosity to learn through controlled experimentation or experience with low latency production systems.Like everyone else on the team, you will be regularly rewarded by measurable impact on customers like ourselves.We are an inclusive employer and value diversity at Amazon. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Apply now or ping Vaclav Petricek (https://www.linkedin.com/in/petricek) to learn more about the different ways you can have huge impact with us.scijobs
RO, Iasi
The Consumer Cloud Security (C2S) group is responsible for the protection of customer and corporate data. We are connected to all parts of Amazon's business and it’s massive, worldwide service-oriented architecture. We are starting the work on a new mission critical system that will preserve and improve the trusted experience that Amazon provides to its customers. This is a greenfield initiative with plenty of opportunity for innovation in the security space through new machine learning techniques.We are seeking a talented, self-directed Applied Scientist to work on the cutting edge security technologies. You'll design and run experiments, research new algorithms, and find new ways of protecting Amazon's customer trust. Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice. You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You enjoy and succeed in fast paced environments where learning new concepts quickly is a must. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems. Your strong communication skills enable you to work effectively with both business and technical partners.Key responsibilities:· Process and analyze large data sets using as many techniques as necessary· Deliver scalable models that can analyze large data sets efficiently· Build mathematical models to detect and classify specific data elements with high accuracy· Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.· Create, enhance, and maintain technical documentation, and present to other scientists and business leaders.
US, WA, Seattle
Are you passionate about leveraging data to deliver actionable insights that impact daily marketing activities at Amazon? The Customer Targeting team in Amazon is seeking an Applied Scientist to join our team to develop production quality machine learning solutions for optimizing the performance of Amazon’s marketing initiatives across channels and advertising formats. You have experience applying modern machine learning methods to answer key business questions, make strategic and tactical recommendations for change, and work with development teams and business leaders to drive these to production. You are entrepreneurial and able to work in a highly collaborative environment.This role requires an individual with strong quantitative modeling skills and experience getting these production ready. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment. You will be expected to:· Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.· Build statistical models required to measure the impact of cross-channel spend· Predict future customer behavior and business conditions through machine learning and predictive modeling.· Use optimization tools to recommend optimal spend across channels· Use analytical and predictive techniques to build models for optimizing targeting.· Translate prototype models to production quality, large scale software systems.· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.
US, CA, Cupertino
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.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
DE, BE, Berlin
As a Senior Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search engine. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages, not only English and major languages of Europe, but also Turkish, Arabic, Japanese, and more. The team plays a central role in search query understanding, product indexing, and representations/embeddings of queries and products, all of which aid in improving the ranking and relevance of search results.This is a rewarding role where you will be able to draw a clear connection between your work and how it improves the experience of millions of Amazon customers across the globe every day. You will propose and explore publication-worthy innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Your responsibilities include:· Analyze the data and metrics resulting from traffic into Amazon's product search engine· Design, build, and deploy effective and innovative ML solutions to improve various components of the search stack, such as indexing, ranking, and query understanding· Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production· Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IRYour benefits include:· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems· Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals· Excellent opportunities, and ample support, for career growth, development, and mentorship· Competitive compensation, including relocation support (for both domestic and international candidates)
US, WA, Seattle
Do you have the passion to drive performance of a business through creative analytical insight? Are you excited about Human Resources and bringing science to the art of managing and developing an extremely talented workforce? We are looking for a passionate, insightful, results-oriented Analyst to join a team chartered with building Human Resources Analytics for all of Devices & Services. From statistical analysis, predictive analytics, product building for reporting designed to scale, and requirements gathering, we do it. All with an aim to more effectively attract and develop our most valuable of all resources – our people.The Data Science, Workforce Insights role is ideal for someone with the analytical acumen to discover and communicate valuable staffing and workforce insights and recommendations.In this role, you will closely partner with the Devices & Services HR and Talent Acquisition leadership team. You will also work closely with cross-functional teams and leaders to understand business goals and priorities, in order to effectively and accurately strategize, plan and execute initiatives as it relates to workforce plans. Excellent interpersonal & communication skills, the ability to influence at an executive level, and the ability to tell customized end-to-end headcount progress-to-goal and movement story will be critical for success.This role performs advanced business analysis using various techniques and modeling (e.g. statistical, explanatory and predictive modeling and SQL data mining).The Team: How often have you had an opportunity to be a member of a team innovating and solving some of the world's toughest problems? You can expect all the challenges and benefits of a growing business: lots of room for improvement and innovation, a close-knit team that cares about one another as humans, and a fast-paced environment. These will require a willingness to dive into the details, solve new problems as they arise, leverage high judgment and gut instinct, look around corners, and always obsess over customers. Everyone on the team wears multiple hats, and ownership our end-products is key.Responsibilities:· Collaborate with HR, business leaders, and peer analysts/researchers on hypothesis-driven research projects to inform business actions· Design, develop and evaluate Talent Acquisition (TA) business reporting and insights· Establish scalable, efficient, automated, and easily repeated processes for large scale data analyses for the broader Amazon Devices org· Provide ad-hoc or special project statistical analysis to TA, HR and business leaders that enable them to achieve their goals, drive decision making and create new strategies where necessary· Gather, manage, and evaluate large datasets from multiple sources· Build and maintain strong partnerships across TA, HR and the business
US, WA, Seattle
Ever wonder how you can apply your analytics skills to drive customer experience improvements for a diverse, innovative, and fun company like Amazon? Amazon’s Customer Insights and Research team is looking for a Data Scientist to help do exactly that and much more! If you have experience in surveys, experimental design, statistical analysis, and NLP-based machine learning algorithms and are interested in going deeper into data, this is the right opportunity for you. Our team is responsible for conducting global NPS studies to help business teams drive strategic initiatives that advocate for the best possible customer experience. We have a diverse suite of skill sets on the team, including Business Analysts, Business Intelligence Engineers, Data Scientists, Product Managers, and Software Development Engineers. Data Scientists in our team apply their skills to design studies and surveys, design and apply statistical analyses, and apply NLP-based processing and machine learning algorithms. Data Scientists also continuously learn new systems, tools, and industry best practices to analyze big data and enhance our analytics.
US, MA, Cambridge
Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We’re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know.We’re looking for a passionate, talented, and inventive scientist to help build industry-leading conversational technologies that customers love. Our team's mission is the enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to develop novel machine learning algorithms and modeling techniques to advance the state of the art in speech and audio processing. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives.
US, CA, Cupertino
Are you passionate about applying formal verification, program analysis, constraint-solving, and theorem proving to real world problems? Do you want to create products that help customers? If so, then we have an exciting opportunity for you. In this role, you will interact with internal teams and external customers to understand their requirements. You will apply your knowledge to propose innovative solutions, create software prototypes, and productize prototypes into production systems using software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever growing demand of customer use.Technical Responsibilities:- Interact with various teams to develop an understanding of their security and safety requirements.- Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems.- Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving.- Perform analysis of the customer systems using tools developed in-house or externally provided- Create software prototypes to verify and validate the devised solutions methodologies; integrate the prototypes into production systems using standard software development tools and methodologies.Leadership Responsibilities:- Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences.- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.- Mentors and trains the research scientist community on complex technical issues.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 is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed. Until we have an effective vaccine available in billions of doses, high-volume testing capacity would be of great help, but getting that done will take collective action by NGOs, companies, and governments.For our part, Amazon has begun the work of building incremental testing capacity.Key Responsibilities:· Perform all laboratory testing in a high complexity analytical/clinical laboratory covering all levels of complexity necessary for validation of potential diagnostics testing.· Be responsible for reviewing and releasing laboratory testing performed by laboratory technicians and reporting results in a timely and accurate manner· Oversee testing by medical laboratory technicians and specimen management· Analyze clinical laboratory specimens following the standard methods and procedures.· Ensure equipment and instruments remain in good operating condition, recognize any malfunctions and troubleshoot as needed· Verify, perform, process, and analyze specialized laboratory specimens consistent with laboratory procedural requirements with accuracy and efficiency and report test results· Perform tests under the direct supervision of the laboratory lead· Perform quality control procedures to ensure accuracy of clinical data (if applicable)· Maintain updated understanding and knowledge of methods performed in the lab· Act as go-to person when lab lead is not available· Train others on specialized instructions for instruments/protocols (super users)· Identify and escalate equipment malfunctions; troubleshoot common errors· Recognize, document, and escalate protocol deviations in lab to lead/supervisor· Participate in the updating of departmental standard operating procedures and database to accurately reflect the current practice.· Maintain equipment and instruments in good operating condition
US, WA, Bellevue
ML scientists at Amazon participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and time-series forecasting 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.The AWS Demand Forecasting and Planning team is responsible for growing the world's largest Cloud. We forecast customer demand, build ML systems that understand customer needs, and drive utilization improvement for all AWS services.What we own:· Building a world-class forecasting platform that scales to handling billions of time series data in real time.· Developing predictive customer analytics models and recommendation engines.· Expanding inventory replenishment models and systems for each AWS service in the fast-growing AWS product portfolio.· Finding out the optimal tradeoff between AWS service availability and fleet utilization.· Driving fleet utilization improvement where each 1% means tens of millions of additional free cash flow.· Automating tactical and strategic capacity planning tools to optimize for service availability and infrastructure cost.What you will learn:· State of the art forecasting methodologies.· Application of machine learning to large-scale customer analytics.· Inventory management and supply chain management for the Cloud.· Resource management and admission control for the Cloud.· The internals of all AWS services.Keywords:Forecasting, Statistics, Machine Learning, Optimization, Inventory Management, Supply Chain Management, AWS, Cloud, Cloud Computing, EC2, S3, EBS, DynamoDB, CloudFront, Java, C++, Object Oriented, R, Distributed Systems, High Availability, Scalability, Concurrent
US, WA, Seattle
Amazon is focused on protecting the health and safety of our employees while continuing to serve people who need our services more than ever. Regular testing on a global scale across all industries would both help keep people safe and help get the economy back up and running. But, for this to work, we as a society would need vastly more testing capacity than is currently available. Unfortunately, today we live in a world of scarcity where COVID-19 testing is heavily rationed.To help solve this problem, Amazon has begun building incremental testing capacity and conducting research and development to apply cutting-edge technology advances to solve testing bottlenecks. We are seeking a Bioinformatics Lead to help define new approaches and execute against scaling them. You will work with a unique and gifted team developing these and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers in the field.
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Applied Scientist IILocation: Seattle, WAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Data Scientist IILocation: Seattle, WAPosition Responsibilities:Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, MA, Cambridge
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services, LLCTitle: Applied Scientist IILocation: Cambridge, MAPosition Responsibilities:Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and natural language (NL) applications. Develop and apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
US, AZ, Tempe
MULTIPLE POSITIONS AVAILABLEEntity: Amazon.com Services LLCTitle: Data Scientist IILocation: TEMPE, AZPosition Responsibilities:Own the data science elements of various Account Clustering Data Services products to help with data based decision making, product performance optimization, risk-based clustering, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Bridge the Degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
ES, B, Barcelona
Are you a Master’s or Ph.D. student interested in applying machine learning techniques to big-data sets? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We’re looking for smart scientists capable of using machine learning and statistical techniques to invent state-of-the-art solutions to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Amazon has multiple positions available for Machine Learning Scientists in Barcelona.
Amazon Research Awards.jpg

Amazon Research Awards

Collaborating with scientists around the world to fund research, share knowledge and encourage innovation.