Deep Learning Engineer for Automated Driving
Seoul, Korea, Republic of
KRW 48000K-67000K (estimate) Mid-level Full Time
Tasks
- Build behavior motion and trajectory prediction models
- Design automated driving architectures for planning and decision making
- Develop reinforcement learning algorithms for autonomous vehicle control
- Research planning and prediction technologies for autonomous driving systems
Perks/Benefits
- N/A
Skills/Tech-stack
Behavior Prediction | C++ | Decision Making | Deep learning | Language Models | Large Language Models | Motion Planning | PyTorch | Python | Reinforcement Learning | TensorFlow | Trajectory Prediction
Education
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