Описание
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join our efforts in building Personal Superintelligence within Meta Superintelligence Labs (MSL).
We focus on turning ambiguous, real-world product problems into shipped systems and measurable improvements in frontier-model capabilities, including long-horizon agents, tool use, full-stack coding, search, and personalization. In this role, you will work across the full research-to-product stack—from user experiences, backend systems, and agent environments to data, evaluations, post-training, and deployment. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. Perform research that can be applied to Meta product development.
Work hands-on across the full LLM post-training stack. Build high-quality training data and design and run rigorous, product-relevant evaluations. Execut
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