Build AI
Member of Technical Staff
San Francisco · On-site · Staff · Full-time · Posted Aug 30, 2026
About the job
Pursue research and engineering bets using physical-labor and in-the-wild video data, training and evaluating models and building the data and training paths needed to ship effective results.
What you'll do
- Train, evaluate, ablate, and ship models; investigate what models learn as data scales and what remains missing.
- Build training and data pipelines, including distributed training and dataset curation, and design evaluations that test generalization.
- Coordinate with dataset and evaluation leads so research results inform data collection and evaluation; contribute across research and engineering.
What they ask for
- Experience training real models and a research bet the candidate can defend.
- Proficiency in Python and a deep learning framework such as PyTorch or equivalent.
- Interest in in-the-wild physical data, not only academic splits.
- Ability to move between research and engineering and work independently on an ambiguous, high-impact direction.
Nice to have
- Experience with video, world models, robotics, or multimodal training; large-scale pretraining, dataset curation, or distributed GPU training.
- Familiarity with egocentric / first-person or in-the-wild video; published work or shipped models that influenced a lab.
Tools
Python, PyTorch
AI focus
Research, train, and evaluate models on physical-labor, video, and world-model data, including studying learning at scale and generalization.
Model-written summary · the original posting is authoritative