Principal Machine Learning Engineer, App SW
Tasks
- Build evaluation pipelines and metrics
- Collaborate with cross-functional teams
- Curate real-world and synthetic data
- Deploy production scale learning systems
- Develop end-to-end driving models
- Influence model architecture and training methodologies
- Lead personalized and collaborative driving projects
- Mentor engineers and guide technical direction
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Closed Loop | Closed-loop simulation | Control | Data pipeline | Deep learning | Evaluation metrics | Imitation Learning | Model Architecture | Open Loop Evaluation | Open-loop | Perception | Planning | PyTorch | Python | Real Time | Real-time Systems | Reinforcement Learning | Robotics | Sequential Models | Simulation | Time Systems | Trajectory Prediction | Vehicle-in-the-Loop
Education
N/A
Regions
Countries
States
Cities
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