Robotics ML Engineer: RL/IL for Manipulation

Maven Robotics, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Maven Robotics, Inc. in San Francisco is seeking a Machine Learning Engineer - Robot Manipulation to design, implement, test, and deploy RL/IL based manipulation algorithms for assembly and material handling.

You will translate objectives into ML problems and deploy scalable models into robotic systems. Join a fast-paced startup to integrate ML into robotic workflows, validate performance in simulated and real environments, and mentor junior engineers while pushing the boundaries of robotics

Qualifications

• MS or PhD in machine learning, CS, robotics or related field.
• Strong practical experience training and deploying ML models.
• Deep RL/IL understanding for robotics applications.
• Proficiency in Python and PyTorch.
• Experience with data collection and preprocessing for ML models.
• Self-starter with ability to plan and execute solutions.
• Interest in fast-paced startup environments and collaboration.

Responsibilities

• Design and implement ML algorithms for robotic manipulation.
• Translate objectives into ML problems and deploy scalable models.
• Integrate ML solutions into robotic workflows and real-world systems.
• Collaborate across disciplines and mentor junior engineers.
• Drive innovation with the latest ML research in robotics.
• Own ML projects from conception to deployment.

Skills

Reinforcement learning

Imitation learning

Python

PyTorch

Robotics knowledge

Problem solving

Mentorship

Education

MS or PhD in machine learning, computer science, robotics, or related field

Tools

Gazebo

MuJoCo

Stable Baselines

RLlib

GPU acceleration

Job description

Maven Robotics, Inc. in San Francisco is seeking a Machine Learning Engineer - Robot Manipulation to design, implement, test, and deploy RL/IL based manipulation algorithms for assembly and material handling.

You will translate objectives into ML problems and deploy scalable models into robotic systems. Join a fast-paced startup to integrate ML into robotic workflows, validate performance in simulated and real environments, and mentor junior engineers while pushing the boundaries of robotics