Senior Robotics ML Engineer

Role Overview: You will be responsible for designing, training, and deploying reinforcement learning policies for an Ackermann-steered robotic vehicle in a Chennai based Zoho group of company. This role will involve full stack ownership from data pipelines and simulation to on-vehicle inference across perception, planning/control, and MLOps. Your main focus will be on implementing RL/IL algorithms, developing perception models, integrating planning and control systems, managing data pipelines, and ensuring successful on-vehicle deployment. Key Responsibilities: - Design and implement RL/IL algorithms for lateral and longitudinal control, including SAC, TD3, PPO, IQL/CQL, BC/DAgger. - Build reward functions and constraints respecting Ackermann kinematics, curvature limits, tire slip, and comfort. - Develop perception models for occupancy, drivable space, and obstacle detection/tracking. - Implement trajectory tracking, safety envelopes, and collision checking. - Build data pipelines from vehicle logs to train/evaluation datasets with automated quality checks. - Demonstrate closed-loop on-vehicle driving with defined safety gates and KPIs. - Deploy and optimize networks on embedded platforms using TensorRT/CUDA. - Collaborate with cross-functional teams and mentor junior engineers. Qualifications Required: - 6+ years of industry experience in ML/robotics systems with 2+ years in RL for control/robotics. - Proficiency in Python and at least one systems language, with deep expertise in PyTorch and exposure to TensorFlow/Keras. - Strong foundations in RL/IL, control and estimation, computer vision, and data engineering. - Experience with ROS/ROS2 development and real-world deployments on mobile robots or vehicles. Please note that the company details were not explicitly mentioned in the job description.,