Research Scientist Intern, Phd, Pytorch Edge

Summary
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 AIPartner with Reality Labs to run AI on AR/VR hardwarePartner with Meta family of apps for running AI on iOS and AndroidPartner with hardware vendors on high-performance AI kernelsProvide on-device AI training, feature stores, benchmarking, and model deliveryInnovate across productivity, performance, and portability for on-device AIOur 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.
Required Skills
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 Qualification
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 Qualification
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

EOE
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 accommodations-ext@fb.com.