Senior Manager, Computer Vision
Tasks
- Architect hybrid cloud edge machine learning solutions
- Collaborate with firmware, full-stack, and platform teams
- Conduct shadow and online experiments
- Deploy low latency fleet scale AI features
- Fuse sensor data for safety event detection
- Implement rules of the road for detection precision
- Lead computer vision and machine learning teams
- Monitor models and iterate on continuous improvement
- Own model lifecycle across edge and cloud
- Perform data curation training evaluation and deployment
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Computer Vision | Deep learning | Edge Computing | Experimentation | GPS | IMU | Low Latency | Low-Latency Systems | Machine Learning | Model Evaluation | Model Monitoring | PyTorch | Python | Real Time | Real-time Inference | Sensor fusion | Series forecasting | Software Architecture | TensorFlow | Time Series | Time Series Forecasting | Vehicle Diagnostics
Education
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