Senior Manager AI Foundation Model
Posted
You will own foundation and world-model strategy, including architecture selection, post-training, and capability roadmaps. You will lead model engineers, design constrained model interfaces, build evaluation and regression systems, establish uncertainty and out-of-distribution outputs, benchmark learned planning, and support certification-ready model decisions.
Responsibilities
- Own foundation-model and world-model technical strategy
- Lead and mentor world-model and post-training engineers
- Design constrained model interfaces for the autonomy stack
- Build evaluation harnesses, capability taxonomies, and regression suites
- Establish uncertainty quantification and out-of-distribution detection outputs
- Benchmark learned planning against rule-based behavior planning
- Partner on certification-ready model design
- Evaluate external research for adoption or development
Requirements
- Degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Applied Math, or a related subject
- 8+ years building AI systems
- 3+ years leading technical teams or owning a major model program
- Experience managing teams that ship AI-powered models into production
- Experience with learned systems in physical real-time products
- Expertise in world models, learned dynamics, planning or control sequence models, post-training, or constrained generation
- Experience building evaluation harnesses
- Strong PyTorch skills
- Ability to reason about C++ real-time systems
Benefits
- Catered lunches
- Snacks and beverages
- Health insurance
- Dental insurance
- Life insurance
- Unlimited vacation
- 401k matching