Award Recipient

Abhinav Shrivastava

University Of Maryland, College Park

website

2020 Amazon Research Award

The pursuit of knowledge: discovering and localizing new concepts using dual memory

Research topic

Computer vision

2023 Amazon Research Award

Audio-conditioned Diffusion Models for Generating Lip-synchronized Videos

Research topic

Generative AI

Machine Learning Applied Scientist, Account Integrity

US, CA, San Diego

Do you want to join an innovative team of scientists who leverage new technologies like reinforcement learning (RL), large language models (LLMs), graph analytics, and machine learning to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that integrate these state-of-the-art techniques to help manage the trust and safety of millions of customers every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating sophisticated algorithms that combine RL, LLMs, graph embeddings, and traditional machine learning methods to solve complex real-world problems? Do you like to innovate, simplify, and push the boundaries of what's possible? If yes, then you may be a great fit to join the Amazon Account Integrity team, where you'll have the opportunity to work at the forefront of AI and machine learning, tackling challenging problems that have a direct impact on the security and trust of Amazon's customers. The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation. Please visit https://www.amazon.science for more information

Research Scientist, Optimization, Planning and Task-Assignment, Amazon Robotics

US, MA, North Reading

Are you excited about developing algorithms and models to power Amazon's next generation robotic storage systems? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles. The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Research Scientist to develop planning and scheduling algorithms to support Amazon's next generation robotic storage systems. The focus of this position workflow optimization and robot task-assignment. It includes designing and evaluating planning and scheduling algorithms using a combination of machine learning and optimization methods as appropriate. This work spans from research such optimal decision making, to policy learning, to experimenting using simulation and modeling tools, to running large-scale A/B tests on robots in our facilities. The 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! Key job responsibilities - Research design - How should solve a particular research problem - Research delivery - Proving/dis-proving strategies in offline data or in simulation - Production studies - Insights from production data or ad-hoc experimentation - Prototype implementation - Building key parts of algorithms or model prototypes A day in the life On a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your research projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will consult with engineering teams as they incorporate your models and analyses into system and process designs. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Our multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: * Planning and coordinating the paths of thousands of robots * Dynamic allocation and scheduling of tasks to thousands of robots * Learning how to adapt system behavior to varying operating conditions * Co-design of robotic logistics processes and the algorithms to optimize them Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.

Responsible AI Data Scientist, Generative AI Innovation Center

US, WA, Seattle

This is an exciting opportunity to shape the future of AI and make a real impact on our customers' generative AI journeys. Join the Generative AI Innovation Center to help customers shape the future of Responsible Generative AI while prioritizing security, privacy, and ethical AI practices. In this role, you will play a pivotal role in guiding AWS customers on the responsible and secure adoption of Generative AI, with a focus on Amazon Bedrock, our fully managed service for building generative AI applications. AWS Generative AI Innovation Center is looking for a Generative AI Data Scientist, who will guide customers on operationalizing Generative AI workloads with appropriate guardrails and responsible AI best practices, including techniques for mitigating bias, ensuring fairness, vulnerability assessments, red teaming, model evaluations, hallucinations, grounding model responses, and maintaining transparency in generative AI models. You'll evangelize Responsible AI (RAI), help customers shape RAI policies, develop technical assets to support RAI policies including demonstrating guardrails for content filtering, redacting sensitive data, blocking inappropriate topics, and implementing customer-specific AI safety policies. The assets you develop, will equip AWS teams, partners, and customers to responsibly operationalize generative AI, from PoCs to production workloads. You will engage with policy makers, customers, AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. As part of the Generative AI Worldwide Specialist organization, Innovation Center, you will interact with AI/ML scientists and engineers, develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You may also create enablement materials for the broader technical field population, to help them understand RAI and how to integrate AWS services into customer architectures. You must have deep understanding of Generative AI models, including their strengths, limitations, and potential risks. You should have expertise in Responsible AI practices, such as bias mitigation, fairness evaluation, and ethical AI principles. In addition you should have hands on experience with AI security best practices, including vulnerability assessments, red teaming, and fine grained data access controls. Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation. Travel up to 40% may be possible. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities - Guide customers on Responsible AI and Generative AI Security: Act as a trusted advisor to our customers, helping them navigate the complex world of Generative AI and ensure they are using it responsibly and securely. - Operationalize generative AI workloads: Support customers in taking their generative AI projects from proof-of-concept to production, implementing appropriate guardrails and best practices. - Demonstrate Generative AI Risks and Mitigations: Develop technical assets and content to educate customers on the risks of generative AI, including bias, offensive content, cyber threats, prompt hacking, and hallucinations. - Collaborate with GenAI Product/Engineering and Customer-Facing Builder Teams: Work closely with the Amazon Bedrock product and engineering teams and customer-facing builders to launch new services, support beta customers, and develop technical assets. - Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent. - Develop technical content, workshops, and thought leadership to enable the broader technical community, including Solution Architects, Data Scientists, and Technical Field Community members. About the team About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Sr. Data Scientist, Generative AI Innovation Center

US, VA, Arlington

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. This position requires that the candidate selected be a US Citizen. Key job responsibilities As an Data Scientist, you will - Collaborate with AI/ML scientists and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Applied Scientist, Optimization, Planning and Task-Assignment, Amazon Robotics

US, MA, North Reading

Are you excited about developing algorithms and models to power Amazon's next generation robotic storage systems? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles. The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Applied Scientist to develop planning and scheduling algorithms to support Amazon's next generation robotic storage systems. The focus of this position workflow optimization and robot task-assignment. It includes designing and evaluating planning and scheduling algorithms using a combination of machine learning, reinforcement learning, and optimization methods as appropriate. This work spans from research such optimal decision making, to policy learning, to experimenting using simulation and modeling tools, to running large-scale A/B tests on robots in our facilities. The 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! Key job responsibilities - Research design - How should solve a particular research problem - Research delivery - Proving/dis-proving strategies in offline data or in simulation - Production studies - Insights from production data or ad-hoc experimentation - Production implementation - Building key parts of deployed algorithms or models A day in the life On a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your research projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will work with engineering teams to incorporate your models and analyses into system and process designs. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Our multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, reinforcement learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: * Planning and coordinating the paths of thousands of robots * Dynamic allocation and scheduling of tasks to thousands of robots * Learning how to adapt system behavior to varying operating conditions * Co-design of robotic logistics processes and the algorithms to optimize them Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.

Applied Scientist, ML Apps, People eXperience Technology Central Science (PXTCS)

US, IL, Chicago

Do you want to use your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If you do, People eXperience Technology Central Science (PXTCS) would love to talk to you about how to make that a reality. PXTCS is an interdisciplinary team that uses economics, behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that both improve Amazonian’s wellbeing and their ability to deliver value for Amazon’s customers. We work with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world. As an applied scientist on our team, you will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, define the science vision and translate it into specific plans for applied scientists, as well as engineering and product teams. You will partner with scientists, economists, and engineers on the design, development, testing, and deployment of scalable ML and econometric models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership, organizational ability, and technical strength. Key job responsibilities As an Applied Scientist, ML Applications, you will: • Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers • Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. • Partner with the engineering team to deploy your models in production. • Partner with scientists from across PXTCS to solve complex problems and use your team’s expertise to accelerate their ability get their work into production. • Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.

Sr Manager, Applied Science

US, WA, Bellevue

The AI Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of science, product, and engineering leaders. We are looking for Senior Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants. Key job responsibilities Lead and manage a team of applied and research scientists, and language engineers, data linguists responsible for building conversational assistants Collaborate with cross-functional teams to ensure that Amazon’s AI models are aligned with human preferences. Identify and prioritize research opportunities that have the potential to significantly impact our AI systems. Mentor and guide team members to achieve their career goals and objectives. Communicate research findings and progress to senior leadership and stakeholders. Rapidly experiment and drive productization to deliver customer impact About the team The AI Domains (AIDo) team's vision is to build world-class AI-based services to improve conversational CX across endpoints, modalities, and locales. Our leading solutions empower Domains and Horizontal CX owners to rapidly scale and optimize their experiences. We are part of the Conversational Assistant Services (CAS) org, the Sciences org that builds and maintains products such as Alexa. We are pioneering Gen AI revolution rapidly iterating to deliver high quality Gen AI enabled customer experience. Come join us to the invent the future for our customers!

Data Science Manager, Intl Seller Growth

IN, TS, Hyderabad

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques and econometric models to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as a Data science manager. At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products. As the Data Science Manager for Amazon's International Seller Services organization, you will lead a talented and diverse team of data/applied scientists, machine learning experts, and quantitative analysts. Your team will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to econometric modeling and ROI-based optimization. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces around the world. Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. Please visit https://www.amazon.science for more information Key job responsibilities - Manage a team of experienced data scientists and machine learning engineers, providing technical mentorship and career development support. - Collaborate closely with stakeholders across the International Seller Services organization to identify high-impact opportunities for data-driven solutions. - Design and oversee the execution of complex data science and machine learning projects, ensuring they align with strategic business objectives. - Leverage large-scale data sets and cutting-edge technologies to develop novel algorithms and models that enhance the seller experience and drive growth. - Stay up-to-date with the latest advancements in relevant fields, such as natural language processing, econometrics, and reinforcement learning, and determine how to best apply them to solve real-world challenges. - Foster a culture of innovation, collaboration, and knowledge-sharing within your team and across the broader organization. - Effectively communicate technical insights and recommendations to both technical and non-technical stakeholders, including senior leadership.

Applied Scientist, RBKS AI

US, CA, Sunnyvale

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation. You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities * Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. * Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis. Provide technical leadership and research new machine learning approaches to drive continued scientific innovation. * Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams. * Mentor and develop junior scientists on the team

Language Data Scientist, Alexa International Tech

US, WA, Bellevue

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive language data scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. You will collaborate with fellow language data scientists, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization. Key job responsibilities - Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM's - Produce and manipulate different types of language data, analyze, and provide efficient solutions - Design and lead a data collection; define scope and target, provide a guideline and training, guide teams cross sites to meet the quality bar, and run evaluation of data for hand off - Engineer prompts to guide generative AI to produce desired outputs in context - Automate operations and perform data analysis using Python or other scripting language - Advocate strict adherence to annotation guidelines - Test and deploy changes to Alexa's language understanding codebase - Identify and solve production issues that are impacting the Alexa customer experience, - Collaborate with other linguists, scientists and designers in creating optimal solutions to elevate the customer experience - Own the customer-facing machine learning and deterministic models for a specific domain of features - Use modeling tools to bootstrap and test new functionalities

Abhinav Shrivastava

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