<p><span style="color: rgba(0, 0, 0, 0.6);">Software Development</span></p>

Research Scientist Intern, PhD, PyTorch Edge

Product Design Engineer, Reality Labs

Technical Partner Manager - Commerce

Community Program Manager - Customer Support

Research Scientist Intern, AI Core Machine Learning (PhD)(Montreal) | Chercheur stagiaire, apprentissage automatique de l'IA (doctorat) (Montréal)

Program Manager, Manufacturing

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.

<div class="_8muv"><div><div class="_1n-_ _6hy- _94t2">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.</div><div class="_9bm9"></div><div class="_8mlh"><div class="_1n-z _6hy- _8lfs">Research Scientist Intern, PhD, PyTorch Edge Responsibilities</div><div class="_h46 _8lfy _8lfy"><div><ul class="_1zi1 _pkr"><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Develop new or apply existing performance techniques to on-device AI</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Explore quantization, sparsity, and model/software co-design as solutions</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Apply knowledge and research to advance the state-of-the-art in on-device machine learning frameworks</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Collaborate with users and developers of PyTorch and ExecuTorch to enable new use cases inside and outside Meta</div></div></div></li></div></ul></div></div></div><div class="_8mlh"><div class="_1n-z _6hy- _8lfs">Minimum Qualifications</div><div class="_h46 _8lfy _8lfy"><div><ul class="_1zi1 _pkr"><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Experience in ML compilers, sparsity, quantization, kernel development, or similar as applied to on-device and highly-constrained environments</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.</div></div></div></li></div></ul></div></div></div><div class="_8mlh"><div class="_1n-z _6hy- _8lfs">Preferred Qualifications</div><div class="_h46 _8lfy _8lfy"><div><ul class="_1zi1 _pkr"><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Experience working on other AI/ML optimized runtime stacks</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Research or software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions.</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Experience with performance optimization of machine learning models for on-device inference</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Submitted first-authored publications at peer-reviewed conferences (e.g. tinyML, NeurIPS, MLSys, ICML, or similar).</div></div></div></li></div><div class="_1zh- _8lfz"><li class="_l89 _l8f _l8e"><div class="_620i"></div><div></div><div style=";" class="_38io _30jd _9aou"><div class="_h46 _8lfz"><div class="_1n-_ _6hy- _8lf-">Intent to return to degree-program after the completion of the internship/co-op</div></div></div></li></div></ul></div></div></div><div class="_20nr"><div class="_1n-_ _6hy-"> For those who live in or expect to work from California if hired for this position, please click  for additional information. </div></div><div class="_8mlh"><div class="_1n-z _6hy- _8lfs">Locations</div><div class="_9bm7"><div class="_8sab"><div class="_23n-" style="overflow: hidden; width: 100%; height: 100%;"><div class="maplibregl-map mapboxgl-map" style="width: 100%; height: 100%;"><div class="maplibregl-canvas-container mapboxgl-canvas-container maplibregl-interactive mapboxgl-interactive maplibregl-touch-drag-pan mapboxgl-touch-drag-pan maplibregl-touch-zoom-rotate mapboxgl-touch-zoom-rotate"></div><div class="maplibregl-control-container mapboxgl-control-container"><div class="maplibregl-ctrl-top-left mapboxgl-ctrl-top-left"></div><div class="maplibregl-ctrl-top-right mapboxgl-ctrl-top-right"></div><div class="maplibregl-ctrl-bottom-left mapboxgl-ctrl-bottom-left"></div><div class="maplibregl-ctrl-bottom-right mapboxgl-ctrl-bottom-right"></div></div></div></div><div class="_8umt"><svg class="_8umu" width="11px" height="11px" viewBox="0 0 11 11"><g id="Asset-Artboard-Page" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"><g id="Icons/glyph-database-arrow-left-Icons/Data-Small" transform="translate(0.400003, 0.000000)" stroke="#4b4f56"><g id="Group"><rect id="Rectangle" x="0" y="0" width="10" height="11" rx="1.296"></rect><line x1="0" y1="7.15" x2="10" y2="7.15" id="Path-2"></line><line x1="0" y1="3.85" x2="10" y2="3.85" id="Path-2"></line></g></g></g></svg><span>Data Center</span></div></div></div></div><div><div class="_8mlh"><div class="_1n-z _6hy- _8lfs">About Meta</div></div><div class="_3-8q"><div class="_1n-_ _6hy-"> 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. </div></div><br><div class="_1n-_ _6hy- _94t2"><div>$7,800/month to $11,293/month + benefits<br><br><div>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. </div></div></div><br><br><div><div class="_1n-z _6hy- _8lfs"> Equal Employment Opportunity and Affirmative Action </div><div class="_3-8q"><div class="_1n-_ _6hy-"> 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 . </div></div></div><br><div class="_3-8q"><div class="_1n-_ _6hy-"> 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 . </div></div></div></div><div><div></div></div><div class="_9bm9 _9bma"></div></div>