RL Research Engineer

1 week ago

Vapi, Gujarat, India Meril Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

with the subject line:
"RL Research Engineer (Planning & Control) Application"
.

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