Research Scientist Intern, PyTorch Compiler (PhD)
Meta
Office
Menlo Park, CA
Internship
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 inference
Our team at Meta AI offers twelve (12) to sixteen (24) weeks long internships and we have various start dates throughout the year.Research Scientist Intern, PyTorch Compiler (PhD) Responsibilities
7.650 $/month to 12.134 $/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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 inference
Our team at Meta AI offers twelve (12) to sixteen (24) weeks long internships and we have various start dates throughout the year.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.
- 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
- Experience working on other ML compiler stack, especially on PT2 stack or Triton
- Research or software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions
- Experience doing performance optimization on machine learning models
- First-authored publications at peer-reviewed conferences (e.g. NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar)
7.650 $/month to 12.134 $/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Research Scientist Intern, PyTorch Compiler (PhD)
Office
Menlo Park, CA
Internship
August 26, 2025