About the role#
This internship focuses on fundamental research for 3D-grounded generalist models in robotics. You will work within the Surreal Vision group to build models that enable accurate, efficient, and zero-shot robotic manipulation in daily environments. The role involves innovating model architectures, refining training recipes, and delivering functional robotics policies.
What you'll do#
- Plan and execute research to advance generalist robotics policies and data pipelines for large-scale 3D foundation models.
- Collaborate with robotics teams to develop experiments, prototypes, and concepts for policy training and evaluation.
- Design and run experiments to validate robotics policies in both simulation and on physical hardware.
- Create data and training recipes to improve the spatial understanding of large-scale foundation models.
What you'll need#
- Current enrollment in a PhD program related to computer vision, robotics, machine learning, or computer graphics.
- Hands-on experience with robotics policy training and large-scale 3D data pipeline curation.
- Proficiency in implementing large foundation models and generative architectures, such as LLMs, VLMs, video diffusion models, or reinforcement learning.
- Strong programming skills in Python and deep learning frameworks like PyTorch.
- Ability to obtain and maintain work authorization in the United States.
- A proven record of research results, such as publications, patents, or fellowships.
- Experience with software engineering through previous work, internships, or open-source contributions.
- Ability to commit to 24 consecutive weeks of full-time work and an intent to return to your degree program afterward.
Location & details#
- Location: Redmond, Washington.
- Modality: On-site.
- Term: Rolling start dates with a 24-week commitment requirement.
- Compensation: $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.
