The Emory University team, seen here, and its Emora socialbot are the winners of the 2020 Alexa Prize.
The Emory University team and its Emora socialbot are the winners of the 2020 Alexa Prize. Editor's Note: This photo was taken in October 2019, prior to the COVID-19 outbreak. Thus, team members aren't wearing masks.

Emora (2019)

We expect our socialbot, Emora, to be your companion who will care about you, learn from you, share thoughts and feelings with you, and most importantly, always be there for you.

Team Emora is a diverse group of graduate and undergraduate students from the NLP and IR labs at Emory University who strive to bring the true meaning of “socialbot"" to conversational AI.

We expect our socialbot, Emora, to be your companion who will care about you, learn from you, share thoughts and feelings with you, and most importantly, always be there for you. Emora is a self-evolving socialbot whose best intention is to adjust herself for you to have more satisfying conversations so you will feel the contentment of talking to your close friend, rather than an information desk.

Sarah F. - Team leader

Sarah is a second-year Ph.D. student in Computer Science in the Intelligent Information Access Lab at Emory University. Her research interests are in natural language processing, especially in the context of conversational systems, information retrieval, and information extraction. During her first year at Emory, Sarah worked on improving the capabilities of conversational search systems through the incorporation of engagement detection. Before coming to Emory, her research efforts focused on developing automated dialogue systems and investigating the sharing of personal information between humans in chat-oriented dialogues.

Harshita S.

Harshita is a third-year computer science Ph.D. student at Emory University, where he is part of the Information Retrieval lab. Harshita's research interests include conversational search, personalized recommender systems, and knowledge graphs.

James F.

James is a first year Ph.D. student and is passionate about natural language processing and, more broadly, artificial intelligence as a whole. James has three years of experience in task-oriented human-robot dialogue research, and hopes to further explore techniques for human-computer dialogue in more open-domain, chat oriented dialogues. His current research also includes a project focusing on information extraction from unstructured text in the news domain.

Zihao W.

Zihao is a thrid year Ph.D student in Computer Science at Emory University. His research interests lie in Conversational AI, especially in response ranking and selection in dialogue systems. Zihao participated in the Alexa Prize competition in 2017 and 2018 which were great experiences for him. Zihao has had internships in IBM Research China and Uber AI, in which he worked on different scopes of interesting projects.

Ali A.

Ali is a third year Ph.D. student in Computer Science and obtained their Master's degree in Artificial Intelligence. Ali was a team member in the 2017 and 2018 Alexa Prize competition, and the team achieved 5th and 4th in the final ranking in 2017 and 2018, respectively. Ali mainly worked on the design of the multi-level intent and topic classifier, the proactive recommendation mechanism, and several other information retrieval components such as News and Movies. Furthermore, Ali has been working on procedural question-answering by experimenting with different information retrieval, and deep learning methods.

Jason C.

Jason is a graduate student at Emory University specializing in open-domain spoken conversational systems, mainly in ML & NLU & IR aspects. He is also a returning member from the 2017 & 2018 Alexa Prize. Jason's research focus will be on dialogue management that integrates conversational satisfaction prediction, neural response generation, failure detection & recovery and phonetic language representations. With these signals, Jason looks forward to improving the team's existing system to maintain a more natural conversational flow in a more intelligent way.

Sonny X.

Sonny is a rising junior student at Emory University and majoring in Computer Science and Applied Math. Sonny was a team member in the 2018 ACM International Collegiate Programming Contest that won 1st Place out of 82 teams in the Southeast Region Division II. Sonny is also interested in software development and his team won 2nd Place overall, out of 44 teams, and 1st Place in Social Innovation bracket in 2018 at HackATL, by designing the website Asaga.

Bill Q.

Bill is a rising senior at Emory University, majoring in computer science and applied mathematics. He is currently an Emory NLP lab member. Bill has also worked for several semesters in "ELITE" lab where he conducted research on computer science education. Bill is interested in machine learning. He really enjoyed hisgraduate-level machine learning course and plans to pursue a Ph.D. degree in machine learning.

Han H.

Androids Do Dream of Electric Sheep

Liyan X.

Liyan is a Ph.D. student at Emory University and likes cats!

Zihan W.

Zihan is a rising senior majoring in CS. She has been in multiple Hackathons and competitions and created several interesting apps, but the Alexa Prize is the most challenging but interesting one. Zihan enjoys coding and solving problems but her favorite thing to do is still eating hot-pot with friends.

Xiangjue D.

Xiangjue is a master's student majoring in computer science at Emory University since August 2019. Her previous research and project experience were in information retrieval, computer vision, and deep learning area. She completed several projects, like Human Activity Detection, Forum Post Tagging, New Features Development for Role-based Healthcare Web Application iTrust and CUDA Parallel Programming for Neural-Network Framework MXNet. Now she is interested in conversational AI and trying to do relevant research.

Jiaying L.

Jiaying is a first year Computer Science Ph.D. student at Emory and a member of Emory NLP Lab. His research interest lies in NLP, especially understanding human generated text with the help of knowledge and reasoning. Before joining Emory, Jiaying has conducted research in vision and language field. He also has two years of industrial experience at Baidu. He obtained his master and bachelor degrees from BUPT, China.

Sergey V.

Sergey recieved his bachelor’s degree in Mathematics from the Higher School of Economics in Moscow, Russia. Currently he is a 2nd year Ph.D. student. Sergey worked on the Alexa Prize with the Emory team last year.

Jinho Choi - Faculty advisor

Jinho Choi is an assistant professor of Computer Science at Emory University, where he leads the NLP research laboratory. Dr. Choi has introduced many state-of-the-art models for core NLP tasks and also presented several open-source NLP frameworks including ClearNLP, NLP4J, and ELIT. He has started a novel machine comprehension project called “Character Mining” that aims to interpret both implicit and explicit contexts in multiparty conversations. Dr. Choi has been active in the NLP community and area chairs for several top conferences including ACL, NAACL, and EMNLP.

Latest news

The latest updates, stories, and more about Alexa Prize.
US, WA, Bellevue
Who are we? Do you want to build Amazon's next $100B business? We're not just joining the shipping industry—we're transforming how billions of packages move across the world every year. Through evolving Amazon's controlled, predictable fulfillment network into a dynamic, adaptive shipping powerhouse we are building an intelligent system that optimizes in real-time to deliver on the promises businesses make to their customers. Our mission goes beyond moving boxes—we're spinning a flywheel where every new package makes our network stronger, faster, and more efficient. As we increase density and scale, we're revolutionizing shipping for businesses while simultaneously strengthening Amazon's own delivery capabilities, driving down costs and increasing speed for our entire ecosystem. What will you do? Amazon shipping is seeking a Senior Data Scientist with strong pricing and machine learning skills to work in an embedded team, partnering closely with commercial, product and tech. This person will be responsible for developing demand prediction models for Amazon shipping’s spot pricing system. As a Senior Data Scientist, you will be part of a science team responsible for improving price discovery across Amazon shipping, measuring the impact of model implementation, and defining a roadmap for improvements and expansion of the models into new unique use cases. This person will be collaborating closely with business and software teams to research, innovate, and solve high impact economics problems facing the worldwide Amazon shipping business. Who are you? The ideal candidate is analytical, resourceful, curious and team oriented, with clear communication skills and the ability to build strong relationships with key stakeholders. You should be a strong owner, are right a lot, and have a proven track record of taking on end-to-end ownership of and successfully delivering complex projects in a fast-paced and dynamic business environment. As this position involves regular interaction with senior leadership (director+), you need to be comfortable communicating at that level while also working directly with various functional teams. Key job responsibilities * Combine ML methodologies with fundamental economics principles to create new pricing algorithms. * Automate price exploration through automated experimentation methodologies, for example using multi-armed bandit strategies. * Partner with other scientists to dynamically predict prices to maximize capacity utilization. * Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders. * Educate non-technical business leaders on complex modeling concepts, and explain modeling results, implications, and performance in an accessible manner. * Independently identify and pursue new opportunities to leverage economic insights * Opportunity to expand into other domains such as causal analytics, optimization and simulation. About the team Amazon Shipping's pricing team empowers our global business to find strategic harmony between growth and profit tradeoffs, while seeking long term customer value and financial viability. Our people and systems help identify and drive synergy between demand, operational, and economic planning. The breadth of our problems range from CEO-level strategic support to in-depth mathematical experimentation and optimization. Excited by the intersection of data and large scale strategic decision-making? This is the team for you!
US, NY, New York
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! Key job responsibilities This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: - Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. - Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life. - Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization. - Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. - Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced—elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond!
US, WA, Seattle
MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Seattle, Washington Job Number: AMZ9674365 Position Responsibilities: Own the data science elements of various products to help with data-based decision making, product performance optimization, 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. Write documents and make presentations that explain model/analysis results to the business. 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. Position Requirements: Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and two years of experience. Must have one year of experience in the following skills: (1) building statistical models and machine learning models using large datasets from multiple resources; (2) building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language; and (3) communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $162,752/year to $215,300/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000
US, WA, Seattle
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the extreme. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
US, CA, Sunnyvale
Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer devices. We are looking for exceptional scientists to join our Applied Science team to help build industry-leading technology with multimodal language models for various edge applications. This role is for a Sr. Applied Scientist to lead science efforts for on-device inference pipelines and orchestration, working closely with cross-functional product and engineering teams to invent, design, develop, and validate new AI features for our devices. Key job responsibilities * Lead cross-functional efforts to invent, design, develop, and validate new AI features for our devices * Invent, build, and evaluate model inference and orchestrations to enable new customer experiences * Drive partnerships with product and engineering teams to implement algorithms and models in production * Train and optimize state-of-the-art multimodal models for resource-efficient deployment * Work closely with compiler engineers, hardware architects, data collection, and product teams A day in the life As an Applied Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to science solution design, conduct experiments, explore new algorithms, develop embedded inference pipelines, and discover ways to enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production. About the team Our Devices team specializes in inventing new-to-world, category creating products using advanced machine learning technologies. This role is on a new cross-functional team, whose cadence and structure resembles an efficient and fast-paced startup, with rapid growth and development opportunities.
US, CA, San Francisco
The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. PXTCS is looking for an economist who can apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure impact, and transform successful prototypes into improved policies and programs at scale. PXTCS is looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. A day in the life The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team PXTCS is a multidisciplinary science team that develops innovative solutions to make Amazon Earth's Best Employer
US, NY, New York
Principal Applied Scientists in AWS Science of Security are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for security, privacy, and sovereignty. Key job responsibilities The successful candidate will: *Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. *Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. *Povide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. * Develop strategic plans to identify fundamentally new solutions for business problems. * Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.
US, MA, N.reading
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.  As a Principal Scientist, you will lead the research and development of complex sensing systems that help our robots perceive the world around them. You will explore and guide the exploration of novel sensing modalities, refining the existing ones, and imagine the future of robot–based perception, safety, and navigation. You will formulate a robust sensing architecture, lead the experimentation and prototyping, and take part in creating future robots that are fully aware of their surroundings. Key job responsibilities - Build and lead teams focused on hardware, firmware, and embedded systems - Drive technical roadmaps for next-generation robotics platforms - Drive architecture decisions for complex robotics perception systems - Bring the latest trends and scientific developments in robotic perception to the technical team - Create technical standards for robotics sensing platforms - Drive innovation in real-time perception and control systems
US, WA, Seattle
About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About Our Team: The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products. About This Role: As an Applied Scientist on our team, you will: * Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance. * Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. * Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses. * Effectively communicate technical and non-technical ideas with teammates and stakeholders; * Stay up-to-date with advancements and the latest modeling techniques in the field. * Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems. #GenAI
US, MA, N.reading
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities - Collaborate with simulation and robotics experts to translate physical modeling needs into robust, scalable, and maintainable simulation solutions. - Design and implement high-performance simulation modeling and tools for rigid and deformable body simulation. - Identify and optimize performance bottlenecks in simulation pipelines to support real-time and batch simulation workflows. - Help build validation and unit testing pipelines to ensure correctness and physical fidelity of simulation results. - Identify potential sources of sim-to-real gaps and propose modeling and numerical approximations to reduce them. - Stay current with the latest advances in numerical methods, parallel computing, and GPU architectures, and incorporate them into our tools.