About the role#
The Efficiency and On-Device AI team at Meta Reality Labs is looking for a Research Scientist Intern to work on language and vision model optimization. You will focus on developing efficient foundation models for use in AR, VR, and mobile devices.
What you'll do#
- Perform research on LLMs and vision foundation models with the goal of publishing your findings.
- Build optimization algorithms and infrastructure to help deploy models on resource-constrained hardware.
- Study the joint optimization of models and assistant systems, including memory, planning, and tool use.
- Explore new model architectures, personalization, and techniques for model compression.
- Work alongside cross-disciplinary research and engineering teams.
What you'll need#
- You are currently pursuing a PhD in Artificial Intelligence or a related field.
- You have hands-on experience with deep learning algorithms, including transformers.
- Proficiency in Python, shell scripts, and deep learning libraries like PyTorch or JAX.
- You must have work authorization in the United States at the time of hire and maintain it throughout your employment.
- Experience with large-scale foundation model training and on-device optimization is preferred.
- We value experience in LLM agents, personalization, efficient inference, multi-modal modeling, and data-centric tuning.
- A track record of publications at major CV, NLP, or ML conferences is a plus.
- You intend to return to your degree program after the internship ends.
Location & details#
- This position is located in Bellevue, Washington.
- The role is on-site.
- This is a full-time, paid internship with a rolling term.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
