Unlock Innovation: AI & Machine Learning Research Internship at Microsoft NYC
Microsoft Research (MSR) is seeking Research Interns to join its Machine Learning (ML) group in New York City. This opportunity offers PhD candidates the chance to contribute to groundbreaking advancements in artificial intelligence (AI), machine learning (ML), reinforcement learning (RL), and robot learning. About Microsoft Research NYC MSR NYC hosts a team of world-class scientists […]
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Stipend and support
- Base Pay Range: $6,550 to $12,880 per month, with higher rates for specific locations (e.g., San Francisco Bay Area, NYC).
- Additional benefits may be available for eligible roles.
How to apply
Complete the internship provider’s process in this order.
- 1A cover letter detailing their research interests and qualifications.
- 2A CV highlighting relevant academic and professional achievements.
- 3Two reference letters.
- 4Relevant research or work samples.
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About the opportunity
Microsoft Research (MSR) is seeking Research Interns to join its Machine Learning (ML) group in New York City. This opportunity offers PhD candidates the chance to contribute to groundbreaking advancements in artificial intelligence (AI), machine learning (ML), reinforcement learning (RL), and robot learning. About Microsoft Research NYC MSR NYC hosts a team of world-class scientists […]
Microsoft Research (MSR) is seeking Research Interns to join its Machine Learning (ML) group in New York City. This opportunity offers PhD candidates the chance to contribute to groundbreaking advancements in artificial intelligence (AI), machine learning (ML), reinforcement learning (RL), and robot learning.
About Microsoft Research NYC
MSR NYC hosts a team of world-class scientists and engineers working on innovative research across computing, healthcare, economics, and the environment. The ML group at MSR NYC is known for its collaborative environment, where team members work closely with each other and with teams across Microsoft to solve complex challenges.
Interns will work on theoretical and empirical ML research and are encouraged to craft and pursue independent research programs. A strong publication record at top research venues is highly valued for this role.
Microsoft’s Mission and Values
Microsoft’s mission is to empower individuals and organizations worldwide to achieve more. This commitment drives its employees to innovate with a growth mindset, collaborate to reach shared goals, and foster a culture of inclusion based on respect, integrity, and accountability.
Key Responsibilities
As a Research Intern, you will:
- Collaborate with MSR NYC’s ML group on cutting-edge research topics in ML, AI, and RL.
- Develop and execute an independent research program.
- Contribute to a culture of innovation through collaboration with diverse teams across Microsoft.
Required Qualifications
- Enrollment in a PhD program in a relevant field.
- Ability to work onsite at Microsoft’s designated location for the internship duration.
Preferred Qualifications
- Expertise in theoretical or empirical ML, including deep learning, reinforcement learning, and large language models.
- Strong track record of publishing research in top-tier venues.
- Ability to develop original research agendas and think creatively to solve complex problems.
- Strong interpersonal and cross-cultural collaboration skills.
Compensation and Benefits
- Base Pay Range: $6,550 to $12,880 per month, with higher rates for specific locations (e.g., San Francisco Bay Area, NYC).
- Additional benefits may be available for eligible roles.
How to Apply
To apply, candidates must submit:
- A cover letter detailing their research interests and qualifications.
- A CV highlighting relevant academic and professional achievements.
- Two reference letters.
- Relevant research or work samples.
Applications are reviewed on a rolling basis, so early submission is encouraged.
Join Microsoft Research NYC to collaborate with some of the brightest minds in AI and ML, and contribute to innovations that shape the future. This internship is your opportunity to transform research into real-world impact.
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