Research Scientist Intern, PyTorch Compiler (PhD)

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.

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:

• 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:

• 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
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

$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.