Machine Learning Engineer

2 days ago

Vapi, Gujarat, India Meril Full time ₹ 18,00,000 - ₹ 25,00,000 per year

Key Responsibilities

  • Develop state-of-the-art
    reinforcement learning algorithms
    for robotic control, planning, and decision-making.
  • 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

  • Bachelor's or Master's degree in
    Computer Science, Robotics, Machine Learning, Electrical Engineering
    , or related field.
  • 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.

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