Clera
ML Engineer – Robotics
About this role
Join a Series A AI/ML company as an ML Engineer – Robotics to design and deploy intelligent models powering autonomous systems. You'll build perception, planning, and control pipelines combining machine learning with real-world robotics constraints, working across the full AI lifecycle from training to deployment.
What you'll do
- Develop and optimize ML models for perception, motion planning, and control systems
- Build computer vision and sensor fusion pipelines using camera, LiDAR, and IMU data
- Integrate learning-based models with ROS/ROS2 robotics software stacks
- Design data collection, simulation, and reinforcement learning pipelines
- Deploy models in live environments and collaborate with robotics hardware engineers
- Evaluate model performance and robustness across diverse real-world scenarios
What they're looking for
- Python and C++ programming
- PyTorch or TensorFlow
- ROS/ROS2
- Robotics simulation tools (Gazebo, Isaac Sim, CARLA, MuJoCo, PyBullet)
- Sensor fusion and computer vision
- Reinforcement learning
- Motion planning and control systems
- Data collection and evaluation methodologies
Benefits
- Competitive salary ($220k–$300k annually)
- Work on frontier AI and embodied robotics problems
- Collaborate with world-class AI teams
- Full-time role with growth at Series A company
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a robotics project where you integrated ML models into a ROS/ROS2 stack—what were the key challenges?
- How have you approached sensor fusion when working with heterogeneous data (camera, LiDAR, IMU)?