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Meta is hiring a Research Scientist Intern, PHD, PyTorch Distributed

Meta is seeking a Research Scientist Intern to join our Meta PyTorch Distributed Team. Our team’s mission is to make PyTorch faster and easier to use in order to create and maintain a state-of-the-art machine learning framework that is used across Meta and the entire industry. The key challenges in the team are composing multiple distributed training features to support growing model complexity, jointly optimizing computation and communication to maximize hardware utilization, and automating parallelizations to boost usability.

Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit Scientist Intern, PHD, PyTorch Distributed Responsibilities

  • Apply relevant AI and machine learning techniques to advance the state-of-the-art in machine learning frameworks.
  • Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Meta.
  • Develop novel, accurate AI algorithms and advanced systems for large scale distributed training and inference.

Minimum Qualifications

  • Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field
  • Experience in one or more of the following machine learning/deep learning domains: Large scale training and inference ML Systems Research, ML theory: Basic knowledge about ML models in different modalities like LLM (Large Language Models), Vision (VITS, MVITS) and Multimodal and how scale impacts performance, ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, distributed systems, on-device optimization.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience or knowledge on training models at scale using PyTorch/TensorFlow/JAX.
  • Experience or knowledge on working with a distributed GPU cluster.
  • Publications in top tier ML or System Conferences such as ASPLOS, ICML, ICLR, KDD, NeurIPS, MLSys, SOSP, OSDI, NSDI.
  • Intent to return to degree-program after the completion of the internship/co-op

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

$7,500/month to $10,250/month + benefits

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Menlo Park, CA | New York, NY

Meta - AI/ML Jobs


Compensation: $90,000 - $120,000

Location: Menlo Park, CA | New York, NY

Apply Now

Mention when you apply so they know you're a genuine candidate.