ML Framework Software Engineer (PhD)

This role is about developing the core PyTorch 2.0 technologies, innovating and advancing the state-of-the-art of ML compilers, and accelerating PT2 adoption through direct engagements with OSS and industry users.The PyTorch Compiler team is dedicated to making PyTorch run faster and more resource-efficient without sacrificing its flexibility and ease of use. The team is the driving force behind PT2, a step function change in PyTorch’s history that brought compiler technologies to the core of PyTorch. PT2 technologies have gained industry-wide recognition since their first release in March 2023. The team is committed to building the PT2 compiler that withstands the test of time while striving to become the #1 ML framework compiler in the industry. Our work is open source, cutting-edge, and industry leading.ML Framework Software Engineer (PhD) Responsibilities

• Develop the PT2 compiler (e.g., TorchDynamo, TorchInductor, PyTorch Distributed, PyTorch Core)
• Improve PyTorch performance via systematic solutions for the entire community
• Explore the intersection of the PyTorch compiler and PyTorch distributed
• Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference)
• Collaborate with users of PyTorch to enable new use cases of PT2 technologies both inside and outside Meta

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining 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. Degree must be completed prior to joining Meta
• Research or industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar
• Advanced in Python or C++ programming

Preferred Qualifications

• Experience in developing PyTorch/PT2, Triton, MLIR, JAX, XLA, TVM is a huge plus
• Knowledge in GPU architecture, ML accelerator performance, and developing high-performance kernels
• Experience in building OSS communities and extensive social media presence in the ML Sys domain
• Experience with training models, end-to-end model optimizations, or applying ML to systems
• Knowledge of communication collectives, PyTorch distributed, and parallelism
• Experience in developing inside other ML frameworks like Caffe2, TensorFlow, ONNX, TensorRT
• First-authored publications at peer-reviewed conferences (e.g. NeurIPS, MLSys, ASPLOS, PLDI, ICML, or similar)

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$56.25/hour to $173,000/year + bonus + equity + 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