About the role#
Meta is seeking Research Scientist Interns to join the Meta Superintelligence Labs (MSL) team. This group focuses on agentic post-training for Muse foundation models. The work spans the full post-training cycle, including supervised fine-tuning, reinforcement learning, evaluation, and the creation of agentic tasks and environments. You will work on improving model capabilities like long-horizon task completion, tool use, and deep research. Internships last between 12 and 24 weeks, with various start dates available.
What you'll do#
- Develop new agentic post-training methods and systems using deep learning and reinforcement learning.
- Work across the full LLM post-training stack to execute, analyze, and iterate on large-scale runs.
- Improve the efficiency, scalability, and stability of agentic training algorithms and deployed systems.
- Advance the technology behind intelligent agents that reason, use tools, and finish complex tasks.
- Collaborate with researchers and cross-functional partners to share progress and research plans.
- Share your results through publications, presentations, model contributions, or open-source releases.
- Contribute research that can be applied to Meta product development when applicable.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related technical field.
- Research experience in machine learning, deep learning, or natural language processing.
- Experience with PyTorch and programming languages such as Python, C++, C, or Java.
- Ability to obtain and maintain work authorization in the United States.
- Intent to return to your degree program after the internship.
- A track record of results, such as patents, grants, fellowships, or first-authored publications.
- Experience with LLMs, foundation models, post-training, reasoning, or coding.
- Knowledge of reinforcement learning, reward modeling, and agentic systems like workflows or tool use.
- Experience with LLM evaluation and setting up machine learning experiments.
- Demonstrated engineering experience through internships, work, coding competitions, or open-source contributions.
- Ability to work and communicate effectively in a team environment.
Location & details#
- This position is based in Menlo Park, California.
- The role is on-site.
- Compensation ranges from $7,650 to $12,667 per month.
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.
