Research Scientist Intern, Foundation Model Optimization (PhD)

Summary:

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.

Required Skills:

Research Scientist Intern, Foundation Model Optimization (PhD) Responsibilities:

1. Perform LLM and vision foundation model research that leads to publications in top-tier CV/NLP/ML conferences.

2. 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.

3. Research joint optimization of models and the surrounding assistant system, including planning, memory, tool use, and coordination across device and cloud.

4. Explore personalization, model compression and efficiency, and novel model architectures including omni-modal capabilities.

5. Collaborate with cross-disciplinary research and engineering teams.

Minimum Qualifications:

Minimum Qualifications:

1. Currently is in the process of obtaining a PhD in the field of Artificial Intelligence or related field

2. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

3. Hands-on experience in deep learning algorithms and techniques, e.g., transformers

4. Experience with deep learning software libraries such as PyTorch/JAX

5. Experience with scripting languages such as Python and shell scripts

Preferred Qualifications:

Preferred Qualifications:

1. Intent to return to degree-program after the completion of the internship

2. Experience with large scale foundation model training and on-device foundation model optimization

3. 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

4. Proven track record of publications at CV/NLP/ML conferences/journals such as NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP

Public Compensation:

$7,650/month to $12,667/month + benefits

Industry: Internet

Equal Opportunity:

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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].