Job description

About Us Deccan AI is AI training, evaluations and Enterprise AI solutions startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world. Backed by Prosus Ventures and A91 we are expanding the team in US, San Mateo. About the Role We’re looking for an ML Engineer – Robotics to design, train, and deploy intelligent models that power autonomous systems. You’ll work at the intersection of machine learning, control systems, and real-world robotics , helping to build perception, planning, and decision-making pipelines that make machines truly adaptive. This role is ideal for someone who loves solving hard, interdisciplinary problems — combining data-driven learning with real-world constraints. What You’ll Do • Develop and optimize ML models for perception, motion planning, and control . • Build computer vision and sensor fusion systems using camera, LiDAR, and IMU data. • Integrate learning-based models with robotics software stacks (ROS/ROS2) . • Design pipelines for data collection, simulation, and reinforcement learning . • Collaborate with robotics and hardware engineers to deploy models in live environments. • Continuously evaluate model performance and robustness across diverse scenarios. What You’ll Bring • 3–8 years of experience in Machine Learning, Robotics, or Computer Vision . • Proficiency in Python, C++ , and frameworks such as PyTorch / TensorFlow . • Strong understanding of robotics concepts — localization, SLAM, control systems, or sensor fusion. • Experience with simulation environments (Gazebo, Isaac Sim, CARLA, Mujoco, or PyBullet). • Familiarity with reinforcement learning, imitation learning, or adaptive control techniques. • Solid grasp of deploying ML models in real-time or embedded environments . • Curiosity, grit, and passion for pushing the boundaries of embodied intelligence.

Requirements

Must-haves

This role is ideal for someone who loves solving hard, interdisciplinary problems — combining data-driven learning with real-world constraints.
What You’ll Do
Develop and optimize ML models for perception, motion planning, and control .
Build computer vision and sensor fusion systems using camera, LiDAR, and IMU data.
Integrate learning-based models with robotics software stacks (ROS/ROS2) .
Design pipelines for data collection, simulation, and reinforcement learning .
Collaborate with robotics and hardware engineers to deploy models in live environments.
Continuously evaluate model performance and robustness across diverse scenarios.
What You’ll Bring
3–8 years of experience in Machine Learning, Robotics, or Computer Vision .
Proficiency in Python, C++ , and frameworks such as PyTorch / TensorFlow .
Strong understanding of robotics concepts — localization, SLAM, control systems, or sensor fusion.
Experience with simulation environments (Gazebo, Isaac Sim, CARLA, Mujoco, or PyBullet).
Familiarity with reinforcement learning, imitation learning, or adaptive control techniques.
Solid grasp of deploying ML models in real-time or embedded environments .
Curiosity, grit, and passion for pushing the boundaries of embodied intelligence.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpython

Platform: dover
Effort: medium

Benefits

Benefits detected in the listing.

Vision