| Location | Menlo Park, CA |
Meta's mission is to give people the power to build community and bring the world closer together, and the Meta Reality Labs organization focuses on delivering this vision through AR/VR/SG devices. Meta's Efficiency and On-Device AI team within the Reality Labs organization is seeking a Research Scientist Intern with a focus on language/vision model optimization. As a Research Scientist Intern, your primary objective is to develop cutting-edge efficient LLMs and vision foundation models. Perform LLM and vision foundation model research that leads to publications in top-tier CV/NLP/ML conferences. Develop model optimization algorithms and infrastructure to enable deployment of models in resource-constrained settings, such as mobile phones and AR/VR/MR/SG devices. Research joint optimization of models and the surrounding assistant system, including planning, memory, tool use, and coordination across device and cloud. Explore personalization, model compression and efficiency, and novel model architectures including omni-modal capabilities. Collaborate with cross-disciplinary research and engineering teams.Currently is in the process of obtaining a PhD in the field of Artificial Intelligence or related field Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Hands-on experience in deep learning algorithms and techniques, e.g., transformers Experience with deep learning software libraries such as PyTorch/JAX Experience with scripting languages such as Python and shell scripts Intent to return to degree-program after the completion of the internship Experience with large scale foundation model training and on-device foundation model optimization Experience in one or more of: LLM agents and orchestration, personalization, model compression and efficient inference, efficient model architectures, multi-modal modeling, data-centric approaches for model tuning and evaluation Proven track record of publications at CV/NLP/ML conferences/journals such as NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, AAAI, ACL, EMNLPMeta 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 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 .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 .