Meril Life - Machine Learning Engineer - Python

Description :

- Build and maintain simulation environments (e.g., Isaac Gym, Mujoco, Gazebo, PyBullet) for scalable RL training.

- Train RL agents using deep learning frameworks (PyTorch / TensorFlow) and optimize them for sim-to-real transfer.

- Collaborate with robotics and controls engineers to integrate RL policies on real robotic hardware (arm manipulators, humanoids, etc.)

- Implement robust RL pipelines including data collection, reward shaping, distributed training, and evaluation.

- Perform benchmarking, diagnostics, and troubleshooting of RL algorithms under various operational conditions.

- Research and apply methods such as offline RL, hierarchical RL, imitation learning, model-based RL, or multi-agent RL.

- Optimize for safety, performance, and real-time constraints in robotic applications.

- Document technical findings, results, and best practices.

Required Qualifications :

- Strong experience with Reinforcement Learning and deep learning (DDPG, PPO, SAC, TD3, A3C, etc.).

- Proficiency in Python and RL/ML frameworks (PyTorch preferred).

- Hands-on experience with robotics simulation tools (Isaac Gym, Mujoco, PyBullet, Gazebo, or others).

- Solid understanding of kinematics, control theory, or robot dynamics.

- Experience integrating algorithms with real robotic hardware (ROS/ROS2 experience strongly preferred).

- Strong debugging skills and ability to analyze complex system behaviors.