Machine Learning Engineer, App SW
Tasks
- Build evaluation pipelines and metrics
- Collaborate cross-functionally
- Curate and mine real world data
- Curate and mine synthetic data
- Define deployment pathways
- Define training methodologies
- Develop driving models end to end
- Influence model architecture choices
- Lead collaborative driving projects
- Lead personalized driving projects
- Mentor engineers
- Shape technical direction
Perks/Benefits
Skills/Tech-stack
Agent simulation | Behavior Modeling | C++ | CUDA | Closed Loop | Closed Loop Evaluation | Control Theory | Data Pipelines | Deep learning | Driver intent inference | Evaluation metrics | Human behavior modeling | Imitation Learning | Multi-Agent | Multi-agent simulation | Open Loop Evaluation | 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
Regions
Countries
States
Cities
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