About the Role

A Series A AI/ML platform company is looking for an ML Engineer – Robotics to design, train, and deploy machine learning models that power autonomous systems. You'll work at the intersection of machine learning, control, and real-world robotics — building perception, planning, and decision-making pipelines alongside hardware and robotics engineers. Your work will help make machines adaptive and robust across diverse, real-world scenarios.

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 We're Looking For

Required (Dealbreakers):

• Proficiency in Python and C++, with hands-on experience using PyTorch and/or TensorFlow to build and deploy models.

• Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments.

Required:

• 3–10 years of experience in machine learning, robotics, or computer vision.

• Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion.

• Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation.

• Familiarity with reinforcement learning, imitation learning, or adaptive control techniques applicable to robotics.

• Experience deploying ML models in real-time or embedded environments.

Nice to Have:

• Experience with on-board/edge deployment and optimizing models for constrained hardware.

Location

This is an on-site role based in Mountain View, CA. Candidates must be able to work on-site and collaborate closely with cross-functional engineering teams. Visa sponsorship is not available.

Compensation

Base salary range: $220,000 – $300,000 USD annually, commensurate with experience.