About the role#
The Surreal Vision group at Reality Labs Research is looking for Research Scientist Interns to advance the post-training of vision-language and omni models. You will work on reinforcement learning methods to improve multimodal reasoning, temporal understanding, and decision-making for future contextual AI devices. Internships last between 12 and 24 weeks with flexible start dates.
What you'll do#
- Plan and execute research to advance multimodal post-training and reinforcement learning.
- Develop training pipelines, reward functions, experiments, and prototype systems in collaboration with other researchers.
- Benchmark reinforcement learning methods against supervised fine-tuning and preference-optimization baselines.
- Analyze model behavior and generalization.
- Publish findings at leading conferences and present outcomes to internal and external audiences.
What you'll need#
- Currently pursuing a PhD in machine learning, computer vision, natural language processing, speech and audio processing, reinforcement learning, or a related field.
- Proven research contributions, such as publications at conferences like NeurIPS, ICML, CVPR, ICLR, or ACL.
- Deep learning knowledge with hands-on experience in VLM or omni model post-training.
- Experience implementing deep learning algorithms, designing benchmarks, and using Python with PyTorch.
- Ability to work and communicate across functions in a team environment.
- Familiarity with RL post-training methods, reward modeling, or preference optimization.
- Experience with distributed training and scalable evaluation of multimodal foundation models.
- Research background in video understanding, temporal reasoning, or audio-visual learning.
- Intent to return to a degree program after the internship.
- Must obtain and maintain work authorization in the United States.
Location & details#
- Location: Sunnyvale, California.
- Modality: On-site.
- Employment: Full-time intern.
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.
