Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles
Tasks
- Build training pipelines
- Define and collect training datasets
- Develop real time inference runtimes
- Develop software for autonomous vehicle perception prediction planning control
- Evaluate and iterate on model experiments
- Implement and experiment with new ideas
- Implement inference in PyTorch TensorFlow and TensorRT
- Stay current with deep learning research
- Transform research into production machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Architecture Optimization | Artificial Intelligence | Autonomous Driving | C++ | C++ debugging | Computer Science | Computer Vision | Curriculum learning | Data Pipelines | Data collection | Deep learning | Inference | Label Propagation | Lidar | Machine Learning | Model Training | Multi-task Learning | Neural Networks | Pruning | PyTorch | Python | Real Time | Real-time Systems | Robotics | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | TensorFlow | TensorRT | Time Systems | Unsupervised Learning
Education
Regions
Countries
States
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