- Clera
- Mountain View, CA
- Full-Time
- 30 days ago
- $220,000 – $300,000
ML Engineer - Robotics.
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ML Engineer - Robotics: our view in 3 lines...
- The Role:This role is for an ML engineer working on perception, planning, and decision-making systems for autonomous robotics.
- The Person:The person will develop ML models, build computer vision and sensor fusion systems, integrate models with ROS or ROS2, and evaluate performance across real-world robotics scenarios.
- Requirements:The ideal candidate has 3–8 years of experience in Machine Learning, Robotics, or Computer Vision, plus Python, C++, PyTorch and/or TensorFlow, ROS or ROS2, and sensor fusion.
About the role
About the Role
This role sits at the intersection of machine learning, control systems, and real-world robotics, building the perception, planning, and decision-making pipelines that make autonomous systems truly adaptive. You'll collaborate with frontier AI researchers and hardware engineers to solve hard, interdisciplinary problems that bridge data-driven learning with physical-world constraints — work that directly shapes the next generation of embodied intelligence.
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 workflows.
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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 real-world scenarios.
What We're Looking For
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3–8 years of professional experience in Machine Learning, Robotics, or Computer Vision.
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Proficiency in Python and C++ for robotics and ML development.
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Hands-on experience with PyTorch and/or TensorFlow for model development.
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Proficiency with ROS or ROS2 and integrating ML models into robotics software stacks.
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Experience with simulation and benchmarking environments such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet.
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Solid background in perception, motion planning, and control pipeline design for autonomous systems.
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Experience with sensor fusion across camera, LiDAR, and IMU data sources.
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Familiarity with reinforcement learning, imitation learning, or adaptive control techniques.
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Ability to deploy ML models in real-time or embedded environments.
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Must be eligible to work in the United States without employer sponsorship.
Compensation & Benefits
Base salary range: $220,000 – $300,000 USD annually. Visa sponsorship is not available for this role.
Location
On-site in Mountain View, CA, United States. Local candidates or those willing to relocate are required; remote work is not available for this position.
