Senior AI Researcher

The role

You will own significant research problems within the video generation-modeling platform. You will design and scale models to serve as foundations for policy learning, control, and real-world deployment.

What you will do

• Design video generation models with expressive latent representations, stable rollouts, and control-oriented predictions
• Improve long-horizon rollout fidelity under autoregressive use
• Integrate video priors, physical structure, and object-centric representations into learned control systems
• Evaluate trade-offs across fidelity, robustness, latency, and inference cost in real robotic settings
• Own major research workstreams from hypothesis through implementation, experimentation, and evaluation
• Identify modeling, training, and scaling risks before they become blockers
• Partner closely with founders, product leaders, engineers, and researchers
• Support other researchers and engineers through technical guidance, mentorship, and collaboration

Required qualifications

• Strong background in machine learning, computer vision, robotics, or a related field
• Deep experience with generative models, including diffusion, autoregressive video, or sequence models
• Deep experience with model-based reinforcement learning or planning
• Deep experience with system identification, physics-informed learning, or simulation
• Hands-on experience designing and training generative models
• Strong understanding of long-horizon prediction, autoregressive rollout, and failure modes
• Experience working across model architecture, training systems, experimentation, and evaluation
• Ability to take ambiguous research problems from first principles through implementation
• Strong technical judgment and experience making meaningful modeling or architectural decisions
• Ability to reason clearly about trade-offs across model quality, control utility, latency, robustness, and compute
• Comfort working closely with research, engineering, product, and leadership
• Evidence of improving the technical quality or effectiveness of the people around you

Nice to have

• PhD or MS in Computer Science, Machine Learning, Robotics, or a related field
• Research or industry experience in world models, embodied AI, generative video, robot learning, or learned simulation
• 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
• Familiarity with latent-action models, cross-embodiment learning, or learning from human video
• 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
• Publications at leading machine-learning, computer-vision, or robotics venues

About the company

The Biological Computing Co. (TBC) is an applied biological computing company that uses real neurons to improve AI models. They study how biological neural networks process information to translate insights into software for modern AI models.