[MS/PhD Intern] AI Engineer (정규직 전환형)
KRW 25284K-25754K (estimate) Entry-level Internship
Tasks
- Analyze driving logs and experiment results
- Automate model training and evaluation
- Build and improve simulation and experiment pipelines
- Build auto labeling retrieval and dataset curation pipelines
- Build scalable autonomous driving data platform
- Collaborate with production engineering teams to solve problems
- Design and implement closed loop evaluation framework
- Design build and debug Linux based vehicle software integration
- Design build autonomous driving data collection and processing pipelines
- Design implement validate autonomous driving algorithms
- Develop and evaluate algorithms using real vehicle data
- Develop multimodal model training evaluation and benchmark pipelines
- Implement RL offline RL reward modeling and distillation based policy improvement
- Implement research results for production level systems
- Run scenario based simulation and regression testing
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | Auto-labeling | Autonomous Driving | Benchmarking | Critical Systems | Data Analysis | Data Curation | Data pipeline | Dataset Management | Deep learning | Distillation | Information Retrieval | Linux | MLOps | Machine Learning | Model Evaluation | Model Training | Multimodal Learning | Offline Reinforcement Learning | Python | Regression testing | Reinforcement Learning | Reward Modeling | Safety-Critical | Safety-critical Systems | Simulation | VLA | VLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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