Sr. Computer Vision Engineer (Deep Learning)
Tasks
- Collaborate with data engineering and platform teams
- Design deep learning architectures for ADAS perception
- Develop and optimize neural networks performance
- Integrate and validate deep learning on embedded hardware
- Maintain and improve production perception models
- Optimize model latency efficiency and resource use
- Perform root cause analysis for production issues
- Report model development status and performance metrics
Perks/Benefits
- 401k
- Cell phone stipend
- Complimentary meals
- FSA
- HSA
- Health, dental, and vision
- Paid time off
- Parental leave
- Stock options
Skills/Tech-stack
C++ | Computer Vision | Data Augmentation | Data loading | Deep learning | Distributed Training | Inference pipeline | Knowledge Distillation | Linux | Loss Function | Machine Learning | Neural Networks | Pruning | PyTorch | Python | Quantization | TensorFlow | Training Pipeline
Education
Regions
Countries
States
Cities
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