<p>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 delivery Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.</p> <p>Minimum Qualifications</p> <ul> <li>Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field </li><li>Experience in ML compilers, sparsity, quantization, kernel development, or similar as applied to on-device and highly-constrained environments </li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment </li></ul> <p>Preferred Qualifications</p> <ul> <li>Experience working on other AI/ML optimized runtime stacks </li><li>Experience with performance optimization of machine learning models for on-device inference </li><li>Intent to return to degree program after the completion of the internship/co-op </li><li>Proven 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 similar </li><li>Experience working and communicating cross functionally in a team environment </li><li>Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) </li><li>Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) </li><li>Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies </li></ul> <p>Responsibilities</p> <ul> <li>Develop new or apply existing performance techniques to on-device AI. </li><li>Explore quantization, sparsity, and model/software co-design as solutions. </li><li>Apply knowledge and research to advance the state-of-the-art in on-device machine learning frameworks. </li><li>Collaborate with users and developers of PyTorch and ExecuTorch to enable new use cases inside and outside Meta. </li></ul> <p>About Meta</p> <p>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.</p> <p>Equal Employment Opportunity</p> <p>Meta is proud to be an Equal Employment Opportunity 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.</p> <p>Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.</p>