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Research Intern - Machine Learning Acceleration (PhD)

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Meta

Jun 3

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Sunnyvale

Requirements

  • 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.

Responsibilities

  • 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.

FAQs

What is the primary focus of the Reality Labs team at Meta?

The primary focus of the Reality Labs team is to deliver Meta’s vision through Augmented Reality (AR) and Virtual Reality (VR), emphasizing custom silicon to meet the compute performance and power efficiency requirements of these technologies.

What kind of work does the Meta Silicon team engage in?

The Meta Silicon team engages in breakthrough work in areas such as computer vision, machine learning, mixed reality, graphics, displays, sensors, and innovative methods to map the human body, with the goal of advancing AR and VR technology.

What are the key responsibilities of a Research Intern in this role?

The key responsibilities include enabling efficient hardware acceleration of ML algorithms for computer vision and image processing in AR and VR devices, optimizing production systems, understanding state-of-the-art research, and developing hardware or software solutions to mitigate inefficiencies.

What qualifications are necessary for this internship?

A strong background in machine learning, solid software development skills, familiarity with ML algorithms and framework/toolchains, and hands-on experience in software and hardware co-design, particularly in the context of machine learning, are necessary for this internship.

Will the intern have any opportunities to work on production systems?

Yes, the intern will have a unique opportunity to optimize production systems as part of their role.

What kind of experience will be beneficial for this position?

Beneficial experience includes working with machine learning algorithms, familiarity with software development tools and frameworks, and experience in hardware and software co-design related to machine learning.

How does this role contribute to future-proofing Meta's silicon and software?

The role contributes by proactively understanding state-of-the-art research and developing solutions to mitigate inefficiencies in silicon and software, ensuring they remain at the forefront of technology.

What are the potential areas of research or innovation for this internship?

Potential areas of research include optimizations in computer vision, image processing, hardware acceleration techniques, and new algorithms tailored for AR and VR applications.

What programming skills are expected from candidates applying for this internship?

Candidates are expected to have strong software development skills, which may include proficiency in programming languages typically used in machine learning and hardware programming.

What technologies or tools might the intern work with during the internship?

The intern might work with various machine learning frameworks and toolchains, as well as hardware design and optimization tools relevant to silicon development for AR and VR devices.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

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.