Senior AI Researcher

The Biological Computing Co. (TBC) is harnessing the brain’s intelligence to evolve how we compute. As a Senior AI Researcher, you will design and scale action-conditioned models and take ownership of significant research problems while collaborating closely with founders, product leaders, and other researchers.

Responsibilities:

• Design world models for prediction and control
• Design action-conditioned world models with expressive latent representations, stable rollouts, and control-oriented predictions
• Improve long-horizon fidelity under autoregressive use, not only one-step prediction accuracy
• Integrate video priors, physical structure, and object-centric representations into learned control systems
• Explore latent-action interfaces for cross-embodiment transfer, including human-to-robot transfer
• Build closed-loop learning systems
• Develop methods for policy learning inside learned simulators, including actor-critic learning over imagined trajectories
• Build closed-loop training pipelines in which models and policies co-evolve
• Develop systems that bridge simulation and reality through digital twins, online adaptation, or related approaches
• Evaluate trade-offs across fidelity, robustness, latency, and inference cost in real robotic settings
• Shape technical decisions
• Own major research workstreams from initial hypothesis through implementation and evaluation
• Make high-leverage architectural decisions across model design, training, evaluation, and deployment
• Identify technical and scaling risks before they become blockers
• Partner closely with founders, product leaders, engineers, and researchers to translate research into platform capabilities
• Support and mentor other researchers, improving the quality and pace of technical execution across the team