TBC
Staff AI Researcher
San Francisco · Staff+
Sponsorship not specifiedDetected 23 hours ago
AlgorithmsMachine LearningComputer VisionRoboticsControlsResearchLeadershipCollaborationMentoring
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- As a Staff AI Researcher you will help set the technical direction for one of TBC's core research and product areas.
- This is a hands-on technical leadership role for someone who can solve foundational research problems while raising the output of the broader team.
- You will work closely with TBC's founders, AI researchers, computational neuroscientists, biologists, engineers and product leaders.
Responsibilities
- Design video generation models that support expressive latent representations, stable rollouts, and control-oriented prediction
Requirements
- Deep experience with one or more of the following:
- Strong technical judgment and a track record of making consequential architectural or research decisions
- Ability to reason clearly about failure modes in long-horizon prediction and control
- Experience taking ambiguous research problems from first principles through implementation and evaluation
- Hands-on experience with diffusion models, autoregressive video models, or related generative architectures
- Experience designing and scaling novel research systems rather than only applying established approaches
Nice to have
- Experience training policies inside learned simulators or over imagined trajectories
- Experience with action-conditioned video prediction or controllable generative models
- Experience connecting learned models to real robotic systems
- Experience with object-centric representations, physical priors, or structured dynamics models
- Experience with digital twins, sim-to-real transfer, online adaptation, or closed-loop data collection
- Experience scaling research systems across large datasets or distributed training environments
Skills
- The Biological Computing Co. (TBC) is an applied biological computing company that uses real neurons to improve AI models.
Company info
- Today, we are commercializing neurally optimized models that run on conventional GPU and cloud infrastructure.
- We are building next-generation video generation models that enable robots to learn, plan, and act through imagined futures.
This listing is sourced directly from TBC's careers page and normalized into a canonical job model.