About this role
The Staff AI Researcher position at The Biological Computing Co. in San Francisco involves setting the technical direction for video generation models that enable robots to learn and act through simulated futures. This hands-on leadership role suits an experienced machine learning professional who can solve foundational research challenges and collaborate with an interdisciplinary team.
Role Overview
The Biological Computing Co. seeks a Staff AI Researcher to guide technical choices for generative video platforms. Located in San Francisco, this full-time role focuses on translating insights from biological neural networks and experiments into deployable software systems. The person in this position will work directly with founders, computational neuroscientists, engineers, and product leaders to shape next-generation AI infrastructure.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
The Biological Computing Co. applies biological computing by utilizing real neurons to enhance AI models. The organization studies biological neural network information processing to develop new algorithms, architectures, and neurally-optimized software for generative video and AI infrastructure. The team consists of researchers and engineers with backgrounds from leading institutions.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Staff AI Researcher position?
The job is located in San Francisco.
What is the salary range for this role?
The salary ranges from $300K to $345K with equity offers.
What education is preferred for applicants?
A PhD or MS in Computer Science, Robotics, Machine Learning, or a related field is preferred.
What core technical areas are required?
Candidates need a background in machine learning, computer vision, robotics, or a related field, alongside deep experience in generative models, model-based reinforcement learning, or simulation.
How should I submit my application?
Applicants should apply on the official company careers page.