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Research Intern - Machine Learning Acceleration (PhD)



21d ago

  • Internship
    Off-cycle Internship
  • Data
  • Sunnyvale

AI generated summary

  • You must have a PhD in CS or EE, Python scripting & ML framework experience, interpersonal skills, software design proficiency, hardware acceleration knowledge, work authorization, and familiarity with ML algorithms and optimizations for this Research Intern position at Meta.
  • You will collaborate with various teams to optimize ML workloads, develop efficient kernels, review research trends, evaluate techniques, and identify bottlenecks for performance and power optimizations.


  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field.
  • Experience with Python (or similar) scripting and exposure to ML frameworks like Pytorch/TF.
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Experience in software design and programming in C/C++.
  • Understanding of computer architecture and performance implications.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Experience with h/w acceleration on GPU’s/CPU’s/DSP’s/custom-ASICs.
  • Understand classic ML, CV algorithms , DeepLearning algorithms like BERT, RNN, CNN and frameworks like Tensorflow/Pytorch.
  • Familiarity with the state of art ML algorithm optimizations like Neural Architecture Search, quantization, pruning etc.
  • Familiarity with Deep learning compilers like tensor-rt, XLA is a plus.
  • Familiarity with high performance sw kernel development for customized ISA.
  • Familiarity with code profiling and debug tools. Tools in the context of ML is a plus.
  • Comfortable with reading others code, tracing them, and code refactoring.
  • Intent to return to degree-program after the completion of the internship.


  • Collaborate with computer architects, software, ML and silicon engineers, to map and optimize ML workloads on various backend targets including CPU’s, DSP’s and Deep Learning Accelerators.
  • Perform ML algorithm, software, hardware co-design to achieve best energy and performance efficiency.
  • Develop performant C/C++ kernels and optimize domain specific compilers to port industry standard ML libraries to custom hardware.
  • Review SOTA research trends in hardware specific ML model optimizations and mapping
  • evaluate and integrate promising techniques into shipping products.
  • Run analysis/profiling , identify performance and power bottlenecks on the actual h/w, virtual platforms, simulators or emulators and provide feedback for optimizations across the stack.

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Mission & Purpose

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.