ML Engineer – Robotics
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
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Develop and optimize ML models for perception, motion planning, and control.
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Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data.
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Integrate learning-based models with robotics software stacks (ROS/ROS2).
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Design pipelines for data collection, simulation, and reinforcement learning.
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Collaborate with robotics and hardware engineers to deploy models in live environments.
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Continuously evaluate model performance and robustness across diverse scenarios.
What We're Looking For
Required (Dealbreakers):
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Proficiency in Python and C++, with hands-on experience using PyTorch and/or TensorFlow to build and deploy models.
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Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments.
Required:
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3–10 years of experience in machine learning, robotics, or computer vision.
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Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion.
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Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation.
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Familiarity with reinforcement learning, imitation learning, or adaptive control techniques applicable to robotics.
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Experience deploying ML models in real-time or embedded environments.
Nice to Have:
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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.
Originally posted on Himalayas