Demo

Senior Machine Learning Engineer in Robotics

Cubiq Recruitment
Santa Clara, CA Full Time
POSTED ON 3/10/2025
AVAILABLE BEFORE 6/5/2025

Senior Machine Learning Engineer in Robotics

Are you passionate about solving complex challenges in the field of robotics?

Join a forward-thinking team dedicated to developing innovative AI systems for industrial applications!

We are on the lookout for a Senior Machine Learning Engineer who specializes in robotic manipulation, motion control, and planning. In this role, you will help shape the future of industrial automation with your expertise.

What You'll Achieve

  • Lead the development of advanced behavioral cloning and reinforcement learning (RL) algorithms tailored for intricate robotic tasks.
  • Design and implement lifecycle strategies that include data collection and fleet learning processes.
  • Create, optimize, and deploy learning-based techniques for motion control and planning on industrial robotic systems.
  • Work collaboratively with hardware and software teams to ensure seamless integration of cutting-edge robotics solutions.
  • Test and validate your algorithms in both simulated environments and real-world applications.
  • Keep abreast of the latest advancements in robotics, control theory, and planning algorithms.

Your Qualifications

  • Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related discipline.
  • Published in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, and CoRL.
  • Strong experience in machine learning specifically for robotic manipulation and fine motor control.
  • Proficient in behavioral cloning, reinforcement learning, and robotic simulation tools (e.g., Isaac Sim, Gazebo, MuJoCo).
  • Expertise in programming with C and Python, alongside a solid understanding of control theory, kinematics, and optimization.
  • A proven history of successfully deploying scalable solutions in autonomous robotics.
  • Exceptional problem-solving abilities and communication skills, complemented by a collaborative approach.
  • If this sounds like you, we encourage you to apply and start a conversation!

    Equal Opportunity Employer :

    We welcome all qualified applicants regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other protected category under applicable laws.

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