Research Scientist Intern
Meta
Posted 13 Nov 2026, 06:33 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- LLMsMachine learningComputer visionPythonC++Deep learning
- Work
- On-site in Burlingame · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python37%Machine learning31%LLMs10%Computer vision6%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
Meta Reality Labs is seeking a Research Scientist Intern focused on Generative AI & 3D Generation. This role involves advancing the state of the art through ambitious research projects, collaborating with researchers and engineers to develop new models, representations, datasets, and evaluation methods. Opportunities exist to publish work and influence future Meta products.
Key Responsibilities
- Research, develop, and prototype advanced technologies in 3D Generation, Computer Vision, and Computer Graphics using ML methods, including diffusion models, LLMs, and Agentic RL.
- Deliver research results that are publishable and have a direct impact on Reality Labs or Meta’s Family of Apps.
- Analyze the efficiency, accuracy, scalability, and stability of deployed technologies to identify opportunities for impact through novel research.
- Collaborate with team members throughout the project lifecycle, from research to prototyping to product deployment.
Requirements & Tech Stack
- Currently pursuing a PhD degree in Computer Science, Electrical Engineering, or related fields.
- Experience in one or more areas: 3D Generation, Computer Vision, Computer Graphics, Machine Learning, LLMs, and Reinforcement Learning.
- Proven track record of achieving significant results (e.g., grants, fellowships, patents, publications at top-tier conferences).
- Experience with modern C++ and/or Python.
- Experience with deep learning frameworks such as PyTorch.
Qualifications
- Intent to return to a degree program after internship completion.
- Interpersonal experience: cross-group and cross-culture collaboration.
- Strong communication skills and ability to convey research ideas to a broad audience.
- Broad understanding of the full machine vision pipeline.
- Mathematical background including linear algebra, numerical optimization, probabilistic estimation.
- Understanding of 3D geometry.
- Relevant research or software engineering work experiences (internship, work experience, coding competitions, open-source contributions).