Senior AI Researcher — Video Generation & Robotic Learning

The Biological Computing Co.; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

The Biological Computing Co. is seeking a Senior AI Researcher to lead research on video generation models and neurally optimized AI infrastructure. You will design scalable models, iterate from theory to implementation, and drive platform-level experiments in collaboration with founders and cross-disciplinary teams.

You will own major research workstreams, evaluate long-horizon predictions, and translate advances into practical video-model architectures and software for real-world deployment.

Qualifications

• PhD or MS in CS/ML/Robotics.
• Experience with world models, embodied AI, generative video, robot learning, or learned simulation.
• Experience training policies inside learned simulators or over imagined trajectories.
• Publications at leading ML/CV/Robotics venues.
• Hands-on experience designing and training generative models.

Responsibilities

• Design video generation models with expressive latent representations and stable rollouts.
• Improve long-horizon rollout fidelity in autoregressive settings.
• Integrate video priors, physics, and object-centric representations into learned control systems.
• Evaluate trade-offs across fidelity, latency, and compute in real robotic settings.
• Own major research workstreams from hypothesis through implementation and evaluation.
• Identify modeling and scaling risks before blockers.
• Translate research into platform capabilities with founders and engineers.
• Mentor and collaborate with researchers and engineers.

Skills

Machine learning

Computer vision

Robotics

Hands-on modeling

Education

PhD or MS in CS/ML/Robotics

Job description

The Biological Computing Co. is seeking a Senior AI Researcher to lead research on video generation models and neurally optimized AI infrastructure. You will design scalable models, iterate from theory to implementation, and drive platform-level experiments in collaboration with founders and cross-disciplinary teams.

You will own major research workstreams, evaluate long-horizon predictions, and translate advances into practical video-model architectures and software for real-world deployment.