Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Research Intern - AI Compiler at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Compiler, Algorithms, Systems, Deep Learning, PyTorch, AI Compilers, Post-Training Models, Supervised Fine-Tuning, Reinforcement Learning, GPU Kernels, Triton, Compute Unified Device Architecture, Gluon, Helion

Industry

Software Development

Description

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Enrolled in a PhD program in Machine Learning/AI/Compiler/Algorithms/Systems or related area. 1+ years of experience with deep learning frameworks like PyTorch. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Experience with AI compilers. Experience with post-training models: Supervised Fine-Tuning, Reinforcement Learning, etc. Experience with writing GPU kernels in Triton/Compute Unified Device Architecture/Gluon/Helion etc. Demonstrated ability to develop original research agendas.

Responsibilities

Research Interns collaborate with fellow doctoral candidates and researchers, present findings, and contribute to the community. They are expected to learn and advance their careers while contributing to research and development.