Research Scientist Intern, Systems ML - Frameworks / Compilers / Kernels (PhD)

You will be a member of the Triton Accel team and part of the bigger industry-leading PyTorch AI framework organization. Triton is a breakthrough Python-based language and compiler for authoring performant kernels for AI Accelerators such as GPUs.Our team works on all aspects of Triton - compiler optimizations (architecture-independent and dependent), performance and debug tooling, authoring performant kernels, and more. Our emphasis is OSS, but we also work with internal product teams.Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Systems ML - Frameworks / Compilers / Kernels (PhD) Responsibilities:

• Work with Meta researchers to advance the state-of-the-art in ML Compiler space, with an emphasis on Triton/Triton-like specification languages (EXO, Pallas, Mosaic are examples of the latter).
• Publish these results at top conferences, and use this experience to create and socialize a research program for the ML Compiler space.

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
• Python and C/C++ programming skills
• Knowledge of GPU, CPU, or AI hardware accelerator architectures
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Research experience in AI Compilers and/or AI Accelerators
• Experience working with kernel-writing frameworks like Triton, or CUDA or AI Compiler: compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus
• Experience working in the compiler and/or computer architecture space
• Proven track record of achieving results as demonstrated in accepted papers at top computer vision, computer graphics or machine learning related conferences such as: ASPLOS, PLDI, ICSE, ISCA, HPCA, Micro, MLSys, SC, ICCAD, DAC, STOC, FOCS, SPAA
• 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 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 [email protected].

$7,800/month to $11,293/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.