RL Research Engineer

1 week ago

New Delhi, India Meril Full time

Job Title: RL Research Engineer (Planning & Control)Location: Vapi, GujaratEmployment Type: Full-TimeOverviewWe 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 NotesHumanoids:- 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 InstructionsInterested 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”.

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