Senior Manager AI Foundation Model

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