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Clera
ML Engineer – Robotics
Clera
San Francisco•On-site•Salary•3-6 Yrs•5 days ago
Job description
Overview
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.
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.
Qualifications
- 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.
- Compensation & Benefits
- Salary range: $220,000 – $300,000 USD annually, depending on experience.
- Competitive equity and benefits package.
- This role is on-site in the Bay Area (Mountain View, CA). Candidates must be willing to work on-site. Visa sponsorship is not available — candidates must be authorized to work in the United States without employer sponsorship.