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Attendees of the annual fall Science Hub symposium mingle in the background, a sign with the event's name is in the foreground
In December 2022, the Science Hub hosted its annual fall symposium. The event brought together Amazon researchers, MIT faculty, administrative leaders, postdocs, and doctoral students from across the institution.
Conversational AI

Amazon and MIT research symposium focused on cutting-edge technology

Attendees explored new avenues of research in areas including robotics and conversational AI via roundtables moderated by researchers from Amazon.

By Staff writer
March 31, 2023
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In October of 2021, Amazon and MIT announced the establishment of the Science Hub. That collaboration, which aims to ensure the benefits of AI and robotics innovation are shared broadly, includes funding to accelerate AI and robotics research in ways that make that research more accessible.

Andrew Marchese, principal applied scientist, Amazon Robotics, on: "Large data for robotic manipulation at Amazon: Towards decentralized SSL"

To that end, in December 2022, the Science Hub hosted its annual fall symposium. The event brought together Amazon researchers, MIT faculty, administrative leaders, postdocs, and doctoral students from across the institution. Attendees learned about current collaborations between MIT and Amazon, heard from the 2022 Amazon Fellows, and explored new avenues of research in areas including robotics and conversational AI via roundtables moderated by researchers from Amazon and MIT.

Aude Oliva, senior research scientist, director of strategic industry engagement in the MIT Schwarzman College of Computing, is seen sitting and listening at the symposium
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Aude Oliva, senior research scientist, director of strategic industry engagement in the MIT Schwarzman College of Computing, said "learning about all the amazing research projects underway as a result of the Science Hub is extremely exciting." 
Tye Brady, Amazon Robotics chief technologist, is seen speaking at the fall 2022 symposium
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Tye Brady, Amazon Robotics chief technologist, said the MIT Science Hub symposium helped Amazon and MIT researchers "better understand and improve how academia and industry can work together." 
MITScienceHubsymposiumprojection.jpg
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Attendees learned about current collaborations between MIT and Amazon and heard from the 2022 Amazon Fellows. 

“This event brought us together to continue addressing key invention challenges in diverse areas including robotics, conversational AI, video understanding, databases and distributed systems,” said Rohit Prasad, senior vice president and head scientist of Alexa. “As we conclude a successful first year and begin our second year, I am proud of what has been accomplished so quickly, and excited to see how the Science Hub's activities in 2023 will continue shaping the future of technology.”

Attendees heard from a wide variety of speakers, including Cindy Barnhart, MIT Provost; Aude Oliva, senior research scientist, director of strategic industry engagement in the MIT Schwarzman College of Computing; and Tye Brady, Amazon Robotics chief technologist.

Spyros Matsoukas, vice president and distinguished scientist at Alexa AI, on "Scalable conversational AI through self-learning"

"It is always intellectually stimulating and rewarding to bring together faculty, researchers, and colleagues from across campus to present and discuss topics of mutual interest,” noted Barnhart, who is also the Ford Foundation Professor and Professor of Operations Research, Sloan School of Management.

“It was electric to have so many bright minds in the room at the same time,” Brady, an MIT alumnus, agreed. “In addition to the sharing of cutting-edge research in technology, we were able to connect with each other to better understand and improve how academia and industry can work together. I am so pleased with how much we have accomplished in a relatively short time frame.”

Mohammad Abuomar, head of technology, Amazon Virtual Product Placement, on: "Challenges and applications in content understanding and generation"

The day included talks from researchers on a wide variety of research topics, including robotics, conversational AI, content understanding and generation, video understanding, and databases and distributed systems.

“Listening and learning about all the amazing research projects underway as a result of the Science Hub is extremely exciting,” Oliva said.

See more from the symposium
Watch additional presentations from researchers at MIT and Amazon on robotics, last-mile delivery, multimodal tactile sensing, and more.
Science Hub Symposium 2022

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Economist, Prime Science
US, WA, Seattle
Amazon Prime is looking for an ambitious Economist to help create econometric insights for world-wide Prime. Prime is Amazon's premiere membership program, with over 200M members world-wide. This role is at the center of many major company decisions that impact Amazon's customers. These decisions span a variety of industries, each reflecting the diversity of Prime benefits. These range from fast-free e-commerce shipping, digital content (e.g., exclusive streaming video, music, gaming, photos), and grocery offerings. Prime Science creates insights that power these decisions. As an economist in this role, you will create statistical tools that embed causal interpretations. You will utilize massive data, state-of-the-art scientific computing, econometrics (causal, counterfactual/structural, time-series forecasting, experimentation), and machine-learning, to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, data professionals (business analysts, business intelligence engineers), product managers, and software engineers. You will create insights from descriptive statistics, as well as from novel statistical and econometric models. You will create internal-to-Amazon-facing automated scientific data products to power company decisions. You will write strategic documents explaining how senior company leaders should utilize these insights to create sustainable value for customers. These leaders will often include the senior-most leaders at Amazon. The team is unique in its exposure to company-wide strategies as well as senior leadership. It operates at the cutting-edge of utilizing data, econometrics, artificial intelligence, and machine-learning to form business strategies. A successful candidate will have demonstrated a capacity for building, estimating, and defending statistical models (e.g., causal, counterfactual, time-series, machine-learning) using software such as R, Python, or STATA. They will have a willingness to learn and apply a broad set of statistical and computational techniques to supplement deep-training in one area of econometrics. For example, many applications on the team use structural econometrics, machine-learning, and time-series forecasting. They rely on building scalable production software, which involves a broad set of world-class software-building skills often learned on-the-job. As a consequence, already-obtained knowledge of SQL, machine learning, and large-scale scientific computing using distributed computing infrastructures such as Spark-Scala or PySpark would be a plus. Additionally, this candidate will show a track-record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors). Candidates must have very strong writing and emotional intelligence skills (for collaborative teamwork, often with colleagues in different functional roles), a growth mindset, and a capacity for dealing with a high-level of ambiguity. Endowed with these traits and on-the-job-growth, the role will provide the opportunity to have a large strategic, world-wide impact on the customer experiences of Prime members.
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