Reinforcement Learning Engineer

About

Elevate robotic intelligence with AXIBO as a Reinforcement Learning Engineer in Cambridge, Ontario. Develop advanced machine learning systems for humanoid and legged robots in a dynamic, hands-on role.

AXIBO is seeking a skilled Reinforcement Learning Engineer ideally with a Bachelor’s or Master’s in Computer Science, Engineering, or Robotics and over two years of applied experience in deep reinforcement learning. You will work with cutting-edge technologies to create responsive and adaptive behaviors in robots, utilizing both simulation and real-world environments.

Responsibilities

• Develop reinforcement learning agents for locomotion and manipulation
• Implement policy gradient methods and off-policy algorithms
• Design multi-agent training pipelines for enhanced learning
• Interface with physics simulators and run large-scale experiments
• Create diagnostic tools to monitor training and system performance

Requirements

• Bachelor’s or Master’s in relevant field
• 2+ years in deep reinforcement learning applications
• Proficient in Python, C++, and popular ML frameworks
• Strong understanding of machine learning and control theory
• Excellent debugging skills across various technology stacks

Bring your expertise in reinforcement learning and robotics to AXIBO and transform intelligent behavior in machines.