Principal Machine Learning Engineer, App SW
Tasks
- Build evaluation pipelines
- Collaborate across AI Platform Simulation Robot SW Model Release teams
- Create driving performance metrics
- Curate real-world and synthetic data
- Define architecture choices and training methodologies
- Develop end-to-end driving models
- Improve model robustness and generalization
- Lead collaborative driving behavior conditioning
- Lead personalized driving projects
- Mentor senior engineers
- Mine data for scenario diversity
- Plan production deployment pathways
- Tune comfort and user alignment
Perks/Benefits
Skills/Tech-stack
Agent simulation | Behavior Modeling | C++ | CUDA | Control | Data pipeline | Deep learning | Driver intent inference | Evaluation | Human behavior modeling | Imitation Learning | Machine Learning | Model Architecture | Multi-Agent | Multi-agent simulation | Perception | Personalization | Planning | PyTorch | Python | Real Time | Real-time Systems | Robotics | Simulation | Time Systems | Trajectory Prediction
Education
N/A
Regions
Countries
States
Cities
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