Build AI
Research Intern
San Francisco · On-site · Internship · Posted Aug 30, 2026
- Experience
- No specific number of years stated.
- Education
- Progress toward a Bachelor’s, Master’s, or PhD (preferred) in CS, EE, or a related field.
About the job
Conduct an approximately 12-week research project using Build AI’s physical-labor video dataset, training and evaluating models and contributing to data collection or evaluation improvements.
What you'll do
- Run a research bet: train and evaluate models, perform ablations, and document findings.
- Collaborate with research, dataset, and evaluation teams to inform data collection or evaluations.
- Build the training and data pipeline needed for the project.
What they ask for
- Progress toward a Bachelor’s, Master’s, or PhD in CS, EE, or a related field.
- Experience training real models using PyTorch or an equivalent framework.
- Interest in in-the-wild physical or video data rather than only academic splits.
- Ability to work independently on a 12-week project and be in person in San Francisco.
Nice to have
- Experience with video, world models, robotics, multimodal training, egocentric or in-the-wild video, large-scale training, dataset curation, or distributed GPU work.
- A publication at a listed top conference, or a paper, open-source model, or project that influenced subsequent work.
Pay
$12K per month (currency not specified; pay type not specified)
Tools
PyTorch
AI focus
Research and train models on physical-labor video data, including potential work on video, world models, or physical-labor data.
Model-written summary · the original posting is authoritative