Research Scientist, RL & Simulation

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They are seeking a Research Scientist, RL & Simulation to own the RL + simulation engine that turns large-scale human demonstrations into scalable robot learning signals, focusing on building simulation environments and training policies.

Responsibilities:

• Build and maintain simulation environments for robotics learning (e.g., Isaac Sim / Isaac Gym, MuJoCo, Genesis, Habitat, ManiSkill)
• Decide what environments and assets to build first to maximize learning velocity
• Convert human demonstrations into robot-executable trajectories
• Explore IK-based, optimization-based, and learning-based retargeting approaches
• Train policies from demonstrations using imitation learning + RL:
• Behavior Cloning, DAgger-style aggregation, Offline RL
• PPO / SAC (or similar) when online fine-tuning is required
• Define evaluation: success metrics, stress tests, generalization, and regression tracking
• Drive transfer via domain randomization, system identification, contact modeling, and failure-mode analysis
• Use real data to identify domain gaps that matter