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Research Scientist Intern, PyTorch Compiler (PhD)

Lensa
Menlo Park, CA Intern
POSTED ON 3/29/2026
AVAILABLE BEFORE 4/26/2026
Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for META. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

Summary

Our team makes PyTorch run faster and more resource-efficient without sacrificing the flexibility and ease of use of PyTorch.Team scope:- Advance PyTorch 2.0 technologies that bring torch.compile() to the heart of PyTorch- Advance PyTorch Distributed through torch.compile()- Improve PyTorch out-of-the-box performance on GPU, CPU, accelerators- Vertical performance optimization for models for training and inferenceOur team at Meta AI offers twelve (12) to sixteen (24) weeks long internships and we have various start dates throughout the year.

Required Skills

Research Scientist Intern, PyTorch Compiler (PhD) Responsibilities:

  • Develop new techniques in TorchDynamo, TorchInductor, PyTorch core, PyTorch Distributed.
  • Explore the intersection of PyTorch compiler and PyTorch Distributed.
  • Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).
  • Improve general PyTorch performance.
  • Conduct cutting-edge research on ML compiler and ML distributed technologies.
  • Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Meta.

Minimum Qualifications

Minimum Qualifications:

  • Currently has or is in the process of obtaining a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience in ML compiler, Distributed Training, ML systems, or similar
  • Proficient in Python or Cuda programming
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

Preferred Qualifications:

  • Experience working on other ML compiler stack, especially on PT2 stack or Triton
  • Experience doing performance optimization on machine learning models
  • Intent to return to degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar
  • Experience working and communicating cross functionally in a team environment

Public Compensation

$7,650/month to $12,134/month benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

If you have questions about this posting, please contact support@lensa.com

Salary : $7,650 - $12,134

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