Machine Learning Engineer, App SW
Tasks
- Build evaluation pipelines
- Collaborate cross-functionally
- Develop end-to-end driving models
- Guide architecture and training choices
- Improve driving model performance
- Lead personalized driving projects
- Mentor engineers
- Mine real-world and synthetic data
Perks/Benefits
Skills/Tech-stack
Agent simulation | Behavior Modeling | C++ | CUDA | Closed Loop | Closed-loop systems | Control Theory | Data Pipelines | Deep learning | Driver intent inference | Evaluation metrics | Hardware Integration | Human behavior modeling | Imitation Learning | Multi-Agent | Multi-agent simulation | Open Loop Systems | Open-loop | Perception | Personalization | Planning | PyTorch | Python | Real Time | Real-time Systems | Robotics | Sequential Models | Simulation | Software Engineering | The Loop | Time Systems | Trajectory Prediction | Vehicle-in-the-Loop
Education
N/A
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