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Research Scientist Intern, PhD, PyTorch Edge

Research Scientist Intern, PhD, PyTorch Edge

1 Month ago • Upto 1 Years • Artificial Intelligence

About the job

3 skills required for this role

Add these skills to join the top 1% applicants for this job

unity

deep-learning

pytorch

Job Description

This internship focuses on advancing PyTorch for edge devices. Responsibilities include developing performance techniques for on-device AI, exploring quantization and sparsity, and collaborating on model/software co-design. The intern will work on ExecuTorch, Meta's on-device AI solution, partnering with Reality Labs and Meta's family of apps. The role involves optimizing AI for various hardware (CPU, GPU, NPU, DSP) and contributing to on-device training, feature stores, benchmarking, and model delivery. The internship is 12-16 weeks long, with various start dates throughout the year. Candidates should have experience in ML compilers, sparsity, quantization, or kernel development in constrained environments. Publication experience is preferred.

Must have:

PhD in CS or related field
Experience with ML compilers, sparsity, quantization
On-device, constrained environment experience
Work authorization in country of employment

Good to have:

Experience with other AI/ML runtimes
Performance optimization experience
Publications at peer-reviewed conferences
Intent to return to degree program after internship

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 for additional information.

Locations

Data Center

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 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 .

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 .

View Full Job Description

$93.6K - $135.5K/yr (Outscal est.)

$114.6K/yr avg.

Menlo Park, California, United States

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