Reinforcement Learning Engineer (End-to-End Autonomous Driving Model Development)English summary from Japanese

Must-haves

• Proficiency in reinforcement learning theory and implementation
• Experience designing reinforcement learning environments and rewards
• Ability to implement basic algorithms in Python
• Japanese communication skills (JLPT N2 or equivalent)

Nice-to-haves

• Experience publishing papers at international conferences
• R&D experience in real-world systems (e.g., robots)
• Experience winning reinforcement learning or robotics competitions
• Experience developing distributed systems
• Experience commercializing reinforcement learning models
• Experience developing deep learning and deep reinforcement learning libraries

Tech stack