Sr. Computer Vision Engineer (Deep Learning)
Tasks
- Collaborate with Data and Platform Engineering teams
- Deploy perception models and report performance metrics
- Design deep learning architectures for ADAS perception
- Improve production models through continuous maintenance
- Integrate and validate models on embedded hardware
- Optimize deep learning models for latency and efficiency
- Optimize training and inference pipelines
- Perform root cause analysis of production issues
Perks/Benefits
- 401k
- Cell phone stipend
- Complimentary meals
- FSA
- Fertility benefits
- HSA
- Health/Dental/Vision
- Paid time off
- Parental leave
- Stock options
- Wellness benefits
Skills/Tech-stack
Computer Vision | Data Augmentation | Deep learning | Distributed Training | Embedded Systems | Inference pipeline | Knowledge Distillation | Loss Function | Machine Learning | Neural Networks | Pruning | PyTorch | Python | Quantization | SoC | TensorFlow | Training Pipeline
Education
Regions
Countries
States
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