Senior Reinforcement Learning Engineer

Join a trailblazing leader in robotics technology dedicated to creating intelligent, human-centered robots that enhance daily life and address global labor challenges. As a Senior Reinforcement Learning Engineer, you will be at the forefront of developing state-of-the-art algorithms that enable our humanoid robots to navigate complex environments, manipulate objects, and operate seamlessly alongside humans. Your expertise will directly impact societal progress through groundbreaking innovations in robotics, making this an unparalleled opportunity for passionate engineers eager to push technological boundaries.

Key Skills:

• Over 5 years of hands-on experience with reinforcement learning frameworks such as PyTorch and JAX.
• Proficiency in high-fidelity physics simulators, including MuJoCo and IsaacGym.
• Strong programming skills in Python for rapid prototyping, as well as C++ for performant deployment.
• Extensive experience building and scaling large-scale, distributed training pipelines.
• Deep understanding of modern RL concepts like imitation learning, model-based RL, and sim-to-real transfer.
• Solid grasp of robot dynamics and control systems to inform learning algorithms.
• Results-driven mindset with a passion for deploying algorithms on physical robotic hardware.

Nice to Have Skills:

• Experience with legged robots or robotic manipulators.
• Familiarity with hardware integration, sensors, and real-world testing environments.
• Contributions to research through publications at conferences such as CoRL, RSS, or ICRA.
• Mentorship experience guiding junior engineers in complex technical projects.

Preferred Education and Experience:

• Advanced degree (PhD or MS) in Computer Science, Robotics, or related fields.
• At least 2 years of industry experience successfully deploying reinforcement learning policies on physical robots.
• Demonstrated leadership or mentorship roles within engineering teams.
• Proven track record of translating research into real-world robotic applications.

Other Requirements:

• Ability to work effectively in collaborative, multidisciplinary teams.
• Commitment to continuous learning and staying current with emerging robotics and AI trends.
• Occasional participation in hardware testing and system diagnosis.

Take the next step in your robotics career by applying now and contribute to building intelligent machines that will shape the future. If you\'re passionate about pushing the limits of what autonomous systems can achieve, we want to hear from you.