ML Engineer – Robotics

Clera•San Francisco, CA

7d•$220,000 - $300,000•Onsite

About The Position

A well-funded AI/ML platform company operating at the frontier of model training and evaluation is looking for an ML Engineer – Robotics to join their growing team. You will work at the intersection of machine learning, control systems, and real-world robotics, designing and deploying intelligent models that power autonomous systems. This is an ideal opportunity for someone who thrives on hard, interdisciplinary problems and wants to push the boundaries of embodied intelligence.

Requirements

3–8 years of hands-on experience in machine learning, robotics, or computer vision with practical production exposure.
Bachelor's degree in Computer Science, Electrical/Mechanical Engineering, Robotics, or a closely related field (or equivalent practical experience).
Proficiency in Python and C++ for robotics software development.
Strong experience with ROS/ROS2 for robotics software integration.
Solid expertise in sensor fusion and multi-sensor perception using camera, LiDAR, and IMU data.
Hands-on experience with simulation environments such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet.
Familiarity with reinforcement learning, imitation learning, or adaptive control techniques.
Proven ability to design, train, and deploy learning-based models in live robotics systems and production pipelines.
Strong collaboration and communication skills for working with cross-functional hardware and software teams.

Responsibilities

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 real-world scenarios.