Senior Staff Engineer, Computer Vision/AI
Tasks
- Build data labeling pipelines
- Define CV AI technical strategy and roadmap
- Deploy models with ONNX
- Deploy models with TensorRT
- Design active learning loops
- Ensure privacy security and compliance for image and video systems
- Establish model development and deployment standards
- Evaluate on device cloud and vendor options
- Improve annotation quality controls
- Invent computer vision models and algorithms
- Mentor engineers through design leadership
- Optimize models for edge hardware
- Run offline and online experiments
- Translate business goals into system requirements
- Tune CUDA performance
Perks/Benefits
Skills/Tech-stack
AWS | Active Learning | Airflow | Alerting | Azure | C++ | CUDA | Computer Vision | Data labeling | Data version control | Deep learning | Docker | Edge Computing | GCP | Image classification | Kubernetes | MLOps | MLflow | Monitoring | Multi-sensor Fusion | ONNX | Object Detection | Object Tracking | Pruning | PyTorch | Python | Quantization | Real Time | Real-time Inference | Sensor fusion | TensorFlow | TensorRT | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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