Machine Learning Engineer

Meril

0 years

0 Lacs

vapi gujarat india

Posted:3 hours ago| Platform:

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Skills Required

learning reinforcement planning simulation pybullet pytorch tensorflow sim robotics controls data training benchmarking diagnostics troubleshooting algorithms research model constraints electrical ml ros debugging analyze

Work Mode

On-site

Job Type

Full Time

Job Description

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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