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ML Engineer – Robotics

Remote, USAFull-timePosted 2026-07-27

About the Role

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

What You'll Do

  • reputed company and optimize ML models for perception, reputed company planning, and control.

  • Build computer reputed company and sensor-fusion systems using camera, LiDAR, and IMU data.

  • reputed company 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 reputed company models in live environments.

  • Continuously evaluate model performance and robustness across diverse scenarios.

reputed company're Looking For

Required (Dealbreakers):

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

  • 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 reputed company control techniques applicable to robotics.

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

reputed company to Have:

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

Location

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

Compensation

reputed company salary reputed company: $220,000 – $300,000 USD annually, commensurate with experience.

Originally posted on Himalayas

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