RL Research Engineer
3 weeks ago
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".
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