The picture is a 3 way horizontal split with images from top to bottom from Columbia University, Georgia Tech, and USC
Amazon is increasing its commitment to the Summer Undergraduate Research Experience (SURE) program by expanding its partnership with Columbia, and by initiating new multi-year SURE program commitments with Georgia Tech and the University of Southern California.

Amazon expands SURE program to boost diversity in STEM education

New programs with Georgia Tech and the University of Southern California are established; existing Columbia University program expands.

The lack of diversity in STEM fields and the way it hinders innovation have been well established. But seeing the numbers can still be eye-opening: According to the National Science Board’s State of US Science and Engineering 2022 report, in 2019, women represented 48% of the employed US population, but only “about one-third of the STEM workforce,” and that Blacks, Hispanics, and American Indians or Alaska Natives collectively represented 30% of the employed US population, but just 23% of the total STEM workforce.

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The report also notes that strengthening STEM education efforts in the US is “critical to maintaining the US position as a lead performer” in the science and technology realm.

Last year, in an effort to address these inequities, Columbia Engineering and Amazon announced the creation of the Columbia-Amazon Summer Undergraduate Research Experience (SURE) program aimed at increasing diversity and inclusiveness in technology fields.

Now, building off the success of that initial program — 74% of surveyed undergraduates in that Columbia-Amazon program said it exceeded or far exceeded expectations — Amazon today announced it is increasing its commitment to the SURE program by expanding its SURE partnership with Columbia, and by initiating new multi-year SURE program commitments with two other top-tier universities, Georgia Tech and the University of Southern California (USC).

“Amazon is excited to expand our commitment to SURE partnerships with top US academic institutions with the goal of enriching the diversity of our national STEM talent pool,” said Prem Natarajan, Alexa AI vice president of natural understanding. “Each year, SURE internship programs will provide more than one hundred undergraduate students from historically underrepresented backgrounds the opportunity to participate in research initiatives at top academic institutions. The students will also have the opportunity to receive guidance and mentorship from university faculty members and from scientists at Amazon.”

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The inaugural 2021 summer instance of the Columbia-Amazon SURE program provided 26 students, primarily from historically Black colleges and universities (HBCUs), Hispanic-serving institutions, and tribal colleges and universities, opportunities to conduct research in top-tier laboratories at Columbia and engage with professionals at Amazon. This year, the program will expand to 50 students for a 10-week program, as part of Amazon’s multi-year commitment to the initiative. Amazon will also increase the opportunities for these SURE alumni by funding five master’s fellowships for graduate studies.

"Columbia Engineering is excited to expand our successful partnership with Amazon, which creates new university-industry collaboration models with a goal to broadening the pipeline in STEM fields," said Shih-Fu Chang, interim dean of Columbia Engineering. “This generous multi-year support will allow us to explore and validate novel approaches to widening our STEM talent pool over a longer period."

Georgia Tech’s SURE program was founded in 1992 by the university’s Center for Engineering Education and Diversity (CEED). Over the past 30 years, the program has supported more than 500 students, with 75% ultimately attending graduate school to pursue master’s or doctorate degrees. This 10-week summer research program will support underrepresented minority and women students in conducting research within Georgia Tech’s College of Engineering and College of Computing for 2022 and 2023.

“Amazon’s partnership with CEED will enable Georgia Tech to double the number of students from across the nation who participate in SURE,” said Felicia Benton-Johnson, CEED director and assistant dean. “We are grateful to Amazon for its commitment to growing the number of underrepresented minorities in STEM fields.”

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The USC-Amazon SURE Program will provide undergraduate students with the opportunity to spend eight weeks in Los Angeles working on cutting-edge research projects in artificial intelligence, computer science and engineering, and robotics. Amazon will support 30 students in this program. The USC-Amazon SURE program allows undergraduate students from underrepresented backgrounds to develop their research skills under the supervision of Viterbi faculty and current PhD students.

“Amazon is one of the largest employers of USC Viterbi alumni,” said Kelly Goulis, senior associate dean for Student Affairs. “We are honored that they have chosen to collaborate with us on the key goal to ensure that all students have the opportunity to work on leading-edge research, particularly research that is focusing on solving some of the world’s greatest challenges.”

To learn more about each institution’s program, and application deadlines, please visit the links below:

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US, MA, North Reading
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IN, KA, Bengaluru
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CA, ON, Toronto
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US, MA, N.reading
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AT, Graz
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IL, Haifa
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US, VA, Herndon
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Delivery Practice Manager (DPM) to join our ProServe Shared Delivery Team (SDT) at Amazon Web Services (AWS). In this role, you'll manage a team of ProServe Delivery Consultants while supporting AWS enterprise customers through transformative projects. You'll leverage your IT and/or Management Consulting background to serve as a strategic advisor to customers, partners, and internal AWS teams. As a DPM you will be responsible for building and managing a team of Delivery Consultants and/or Engagement Managers working with customers and partners to architect and implement innovative solutions. You’ll routinely engage with Director, C-level executives, and governing boards, whilst being responsible for opportunity capture and driving engagement delivery. You’ll work closely with partner teams; drive business development initiatives through thought leadership; provide portfolio guidance and oversight; and meet and exceed customer satisfaction targets. As a DPM you are primarily focused directly or through their teams, on understanding and defining business outcomes for customers by building trust, identifying applicable AWS Professional Services offerings, and creating proposals and SOW’s. Your experience gained leading teams within the technology sector, will equip you with the ability to optimize team performance through implementing tailored people development plans, ensuring your teams are aligned to customer needs, and have the skills and capacity to address customer outcomes. Possessing the ability to translate technical concepts into business value for customers and then talk in technical depth with teams, you will cultivate strong customer, Amazon Global Sales (AGS), and ProServe team relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting sales through scoping technical requirements for an engagement, delivering engagements on time, within budget, and exceeding customer expectations. They will hold the Practice total utilization goal and be responsible for optimizing team performance. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities • Building and managing a high-performing team of Delivery Consultants • Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to deploy solutions and provide input on new features • Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers • Managing practice P&L, ensuring on-time and within-budget delivery of customer engagements • Driving business development initiatives and exceed customer satisfaction targets
IL, Haifa
Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team at Amazon. Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future. As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit https://www.amazon.science for more information.
IL, Haifa
Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team at Amazon. Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers with personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future. As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems. Please visit https://www.amazon.science for more information.