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ML Engineer – Robotics

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Clera
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    Robotics, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 220000 - 300000 USD Yearly USD 220000.00 300000.00 YEAR
Job Description & How to Apply Below

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 (Deal breakers):

  • Proficiency in Python and C++, with hands-on experience using PyTorch and/or Tensor Flow 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, Mu Jo Co , 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.

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