RL Research Engineer

Job Title: RL Research Engineer (Planning & Control) Location: Vapi, Gujarat Employment Type: Full-Time Overview We are seeking a highly skilled Reinforcement Learning (RL) Research Engineer specializing in planning and control. The role focuses on designing learning-based planners and policies (RL, imitation learning, model-based) and integrating them with classical control approaches to enable safe, efficient, and robust autonomous operation across multiple domains including humanoids, AGVs, cars, and drones. Key Responsibilities Develop and train policies from human demonstrations and teleoperation data. Implement safe reinforcement learning approaches with constraints. Design long-horizon planners using world models and uncertainty-aware control. Implement safety shields, fallback controllers, and verify-before-deploy pipelines. Collaborate with cross-functional teams to integrate RL policies with control systems. Conduct sim-to-real transfer and ensure policies generalize in real-world settings. Design reward functions and implement offline RL and behavioral cloning strategies. Must-Haves 4–8+ years of experience in RL and control systems. Strong expertise in Model Predictive Control (MPC), Control Barrier Functions (CBFs), reachability analysis, or similar methods. Master’s or PhD in Robotics, Control, AI, or a related field. Experience with sim-to-real transfer, reward design, offline RL, and behavioral cloning. Nice-to-Haves Experience with multi-agent reinforcement learning. Knowledge of hierarchical options and diffusion policies. Familiarity with long-horizon task planning in complex environments. Success Metrics Task success rate in target domains. Rate of human or system interventions during execution. Compliance with energy, jerk, and other control limits. Minimization of constraint violations in real-world deployment. Domain Notes Humanoids: - Stable locomotion and bimanual task RL. AGVs (Autonomous Ground Vehicles): - Navigation in mixed human zones, traffic rule compliance, and aisle etiquette. Cars: - Interactive merges, handling unprotected turns, and safe navigation in dynamic traffic. Drones: - Wind-robust flight, safe landing and perching maneuvers. Application Instructions Interested candidates may apply by sending their resume and cover letter to parijat.patel@merai.co with the subject line: “RL Research Engineer (Planning & Control) Application” .