Senior Expert/VP Reinforcement Learning(m/w/x)

Requirements

• Master or Ph.D. in Robot Reinforcement Learning
• Experience developing novel RL and ML algorithms
• Theoretical and practical Reinforcement Learning expertise
• Experience in Bayesian Machine Learning
• Understanding of AI/ML/RL lifecycle
• Strong stakeholder communication and scoping skills
• Experience with differentiable deep learning
• Experience with Active Learning and RLHF
• Background in model compression and pruning
• Hands-on experience with Bayesian Meta-Learning
• Strong innovation portfolio and patent history
• Experience spearheading global AI initiatives
• Success in leading cross-functional teams
• Knowledge of high-security deployment constraints
• Experience engaging senior C-suite stakeholders
• Prior Government CONFIDENTIAL security clearance

Tasks

• Architect the AI TEVV product suite for reinforcement learning
• Develop next-generation AI testing and assurance frameworks
• Scale reinforcement learning capabilities for safe and robust agents
• Implement RL validation prototypes to expose agent vulnerabilities
• Lead and mentor a global team of 30+ experts
• Define the long-term vision and technical roadmap for RL TEVV
• Validate RL algorithms and learned policies in complex environments
• Advance methods for learning probabilistic reward functions from human feedback
• Align AI behavior with mission goals using RLHF
• Partner with Product Management to translate customer needs into architecture
• Develop technical roadmaps supporting product-led growth strategies

Work Experience

Education

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