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Reinforcement Learning Engineer at 42dot - ApplyBlast

Reinforcement Learning Engineer

42dot

7 days ago

3.9 on Glassdoor

Remote

Full Time

Senior

0 applicants

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About this role

This role focuses on developing reinforcement learning methods to enhance the driving performance of end-to-end driving models. The position involves designing policy optimization techniques, creating self-play training structures in driving simulators, and validating policy safety through closed-loop benchmarks. The ideal candidate will lead the design, large-scale training, and integration of promising ideas to improve model performance.

Responsibilities

Develop closed-loop RL post-training using policy optimization techniques like GRPO and PPO
Design self-play training structures for driving simulators with ego and traffic agents
Validate policy safety and generalization using closed-loop benchmarks and reward analysis

Skills

About 42dot

42dot.ai

Headquarters

성남시 수정구, 경기도, South Korea

Company Size

501-1000 employees

Founded

2019

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42dot is the global software center of Hyundai Motor Group, leading the group's transformation toward Software-Defined Vehicles (SDV) through advanced software and AI technologies. The company develops core SDV components including E/E architecture, Vehicle OS, and infotainment systems, alongside AI solutions such as Autonomous Driving AI, Agentic AI (Gleo AI), and Fleet AI. 42dot drives innovation across the mobility ecosystem by integrating software and AI to redefine the future of transportation.