ML Engineer – Robotics at Clera — Remote
Full job description
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
- 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 scenarios.
What We're Looking For
Required (Dealbreakers):
- Proficiency in Python and C++, with hands-on experience using PyTorch and/or TensorFlow to build and deploy 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 vision.
- 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 adaptive control techniques applicable to robotics.
- Experience deploying ML models in real-time or embedded environments.
Nice to Have:
- 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.
Required skills
- python
- pytorch
- cross-functional
- machine learning
- tensorflow
- c++
- reinforcement learning
- artificial intelligence
- computer vision
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Questions about this ML Engineer – Robotics role
- Is the ML Engineer – Robotics role at Clera still open?
- Yes — this posting is active and accepting applications through 2026-08-09. Listings can close once filled, so apply soon.
- Where is the ML Engineer – Robotics job at Clera located?
- This is a remote role — work from anywhere in the US.
- How do I apply for the ML Engineer – Robotics role at Clera?
- Apply directly through Clera's official hiring system, or let the Jobeezy app fill out and submit the application for you automatically.
- Does Jobeezy apply to jobs for me?
- Yes. Jobeezy can auto-apply to roles like this ML Engineer – Robotics position on your behalf — you set your preferences once and confirm, and it handles the rest.
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