Machine Learning Engineer, App SW
Tasks
- Build evaluation pipelines and metrics
- Collaborate cross functionally for integration and iteration
- Curate and mine real-world and synthetic data
- Develop and improve end-to-end driving models
- Influence architecture choices and training methodologies
- Lead personalized and collaborative driving projects
- Mentor engineers and shape technical direction
Perks/Benefits
Skills/Tech-stack
Autonomous Driving | C++ | CUDA | Closed Loop | Closed loop control | Control Systems | Data Pipelines | Deep learning | Evaluation metrics | Imitation Learning | Loop Control | Machine Learning | Model Architecture | Open Loop Control | Open-loop | Perception | Planning | PyTorch | Python | Real Time | Real-time Systems | Reinforcement Learning | Robotics | Simulation | The Loop | Time Systems | Trajectory Prediction | Vehicle-in-the-Loop
Education
N/A
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