Senior Engineer for Reinforcement Learning and Scenario Creation

Lead the development of transformative RL systems as a Senior Engineer focusing on simulation and scenario generation. Your work will significantly improve the training efficiency and effectiveness of autonomous systems. This role requires designing high-performance training pipelines and creating diverse environment scenarios using your extensive experience in reinforcement learning and AI. You'll collaborate with various teams to ensure synthetic environments meet rigorous real-world standards. Expect to leverage your technical leadership to innovate solutions that drive project success. Key Responsibilities: • Develop RL algorithms for autonomy and navigation challenges • Build and optimize large-scale training infrastructures • Create systems for generating diverse testing scenarios • Work closely with cross-functional teams to improve model robustness • Document workflows for internal users and stakeholders Requirements: • Master's degree in AI, Robotics, or related technologies • 7+ years in deploying AI solutions at scale • Proven technical leadership with 3+ years of experience • Skills in Python, C++, and distributed RL frameworks • Knowledge of simulation models and procedural generation Shape the next generation of AI with your expertise in reinforcement learning and scenario design.