Machine Learning Engineer

UCR (Under Control Robotics) builds multipurpose robots to support human workers in the world's toughest jobs—turning dangerous work from a necessity into a choice. Our work demands reliability, robustness, and readiness for the unexpected—on time, every time. We're assembling a mission-driven team focused on delivering real impact in heavy industry, from construction and mining to energy. If you're driven to build rugged, reliable products that solve real-world problems, we'd love to talk.

Position Overview

At UCR, building is a team sport. As a machine learning engineer, you'll take ownership and lead the development of advanced machine learning and AI systems powering multipurpose humanoid robots in the real world. You'll design, implement, and optimize learning algorithms that enable robots to move fluidly across diverse environments while performing complex manipulation tasks.

Responsibilities

• Create and optimize learning pipelines for training locomotion policies that generalize across environments
• Develop and implement machine learning models for robot perception, decision-making, and motion planning
• Create and optimize computer vision systems for environmental awareness and object recognition
• Collaborate with the hardware team to integrate learning systems with the physical platforms
• Design simulation environments for training and testing learning algorithms
• Collect, process, and analyze field data to improve learning systems continuously
• Develop metrics and benchmarks to evaluate robot learning performance
• Stay current with the latest research and innovations in robotics and machine learning

Requirements

Nice to Have

To apply, submit your resume here or email people@ucr.bot . To increase your chances of being selected for an interview, we encourage you to include up to TWO examples of your most representative work featuring hardware demonstrations.

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