Research Scientist Intern, Machine Learning Acceleration (PhD)

Meta builds technologies that help people connect, find communities, and grow businesses through social technology and immersive experiences.
$93,600 - $135,516
Machine Learning
Software Engineering Intern
In-Person
5,000+ Employees
AR/VR · AI

Description For Research Scientist Intern, Machine Learning Acceleration (PhD)

Meta Reality Labs Research Team is seeking a Research Scientist Intern specializing in Machine Learning Acceleration for their AR/VR initiatives. This role focuses on enabling efficient hardware acceleration of ML algorithms for Computer Vision and Image Processing in AR and VR devices. The internship spans 12-24 weeks and offers a unique opportunity to work at the intersection of ML, hardware optimization, and next-generation AR/VR technology.

The position involves collaborating with world-class researchers and engineers to create the future of AR and VR technologies. You'll work on custom graphics hardware, rendering algorithms, and ML optimizations while having the chance to impact production systems directly. The role requires expertise in both ML algorithms and hardware acceleration, making it perfect for PhD candidates interested in pushing the boundaries of AR/VR technology.

Meta offers a competitive compensation package and the opportunity to work on cutting-edge technology that will shape the future of digital interaction. You'll be part of a team focused on computer graphics and displays, working on efficient synthesis of high-quality images for AR/VR systems. The role provides hands-on experience with state-of-the-art ML hardware acceleration and optimization techniques, making it an excellent opportunity for career growth in the field of ML and AR/VR technology.

The ideal candidate will have strong software development skills, familiarity with ML algorithms and frameworks, and experience in software and hardware co-design. This internship offers the chance to work on real-world problems while contributing to the next evolution in social technology, beyond the constraints of traditional computing.

Last updated a day ago

Responsibilities For Research Scientist Intern, Machine Learning Acceleration (PhD)

  • Collaborate with computer architects, software, ML and silicon engineers to map and optimize ML workloads
  • Perform ML algorithm, software, hardware co-design for energy and performance efficiency
  • Develop performant C/C++ kernels and optimize domain specific compilers
  • Review SOTA research trends in hardware specific ML model optimizations
  • Evaluate and integrate techniques into shipping products
  • Run analysis/profiling and identify performance and power bottlenecks

Requirements For Research Scientist Intern, Machine Learning Acceleration (PhD)

Python
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field
  • Experience with Python and ML frameworks like Pytorch/TF
  • Experience in software design and programming in C/C++
  • Understanding of computer architecture and performance implications
  • Must obtain work authorization in country of employment

Benefits For Research Scientist Intern, Machine Learning Acceleration (PhD)

Medical Insurance
Vision Insurance
Dental Insurance
  • Competitive monthly salary between $7,800 to $11,293
  • Additional benefits package

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