Research Scientist Intern, Foundation Model Optimization (PhD)
- Location
- Menlo Park, CA
- Listed
- 13 days ago
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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.
Research Scientist Intern, Foundation Model Optimization (PhD) Responsibilities
- 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.
Minimum Qualifications
- 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
Preferred Qualifications
- 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, EMNLP
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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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $7,650/month to $12,667/month + benefits
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 benefits at Meta.
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From Meta's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
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This Research Scientist Intern, Foundation Model Optimization (PhD) position at Meta is located in Menlo Park, CA. Always check Meta's application page for specific state eligibility or relocation policies.
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This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.