Research Scientist Intern, PyTorch On-Device (PhD)

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 inference, feature stores, benchmarking, and model deliveryOur internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.Research Scientist Intern, PyTorch On-Device (PhD) 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 fieldExperience in ML compilers, sparsity, quantization, kernel development, or similar as applied to on-device and highly-constrained environmentsMust obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentPreferred Qualifications:Experience working on other AI/ML optimized runtime stacksExperience with performance optimization of machine learning models for on-device inferenceIntent to return to degree program after the completion of the internship/co-opProven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similarExperience working and communicating cross functionally in a team environmentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout 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.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@meta.com.$7,650/month to $12,134/month + benefitsIndividual 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.