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.

　　Research Scientist Intern, PhD, PyTorch Edge Responsibilities:

　　Develop new or apply existing performance techniques to on-device AIExplore quantization, sparsity, and model/software co-design as solutionsApply knowledge and research to advance the state-of-the-art in on-device machine learning frameworksCollaborate with users and developers of PyTorch and ExecuTorch to enable new use cases inside and outside MetaMinimum 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 employment.Preferred Qualifications:

　　Experience working on other AI/ML optimized runtime stacksResearch 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 inferenceSubmitted 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-opAbout 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.

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