Research Scientist Intern, PhD, PyTorch Edge
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Menlo Park, CA
PyTorch is Meta’s deep learning framework for fast, flexible AI/ML experimentation used across industry and backing all of Meta’s ML workloads. More details at https://pytorch.org/
Our team brings PyTorch to edge devices through the use of compilers, an optimized runtime, and leveraging unique mobile hardware (CPU, GPU, NPU, DSP) for inference and training.
Team scope:
Develop ExecuTorch as the PyTorch solution for on-device AI
Partner with Reality Labs to run AI on AR/VR hardware
Partner with Meta family of apps for running AI on iOS and Android
Partner with hardware vendors on high-performance AI kernels
Provide on-device AI training, feature stores, benchmarking, and model delivery
Innovate across productivity, performance, and portability for on-device AI
Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.
Research Scientist Intern, PhD, PyTorch Edge Responsibilities
- Develop new or apply existing performance techniques to on-device AI
- Explore quantization, sparsity, and model/software co-design as solutions
- Apply knowledge and research to advance the state-of-the-art in on-device machine learning frameworks
- Collaborate with users and developers of PyTorch and ExecuTorch to enable new use cases inside and outside Meta
Minimum Qualifications
- Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field
- Experience in ML compilers, sparsity, quantization, kernel development, or similar as applied to on-device and highly-constrained environments
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
- Experience working on other AI/ML optimized runtime stacks
- Research or software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions.
- Experience with performance optimization of machine learning models for on-device inference
- Submitted first-authored publications at peer-reviewed conferences (e.g. tinyML, NeurIPS, MLSys, ICML, or similar).
- Intent to return to degree-program after the completion of the internship/co-op
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$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.
Equal Employment Opportunity and Affirmative Action
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, 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 may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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