Senior Computer Vision / Applied AI Engineer
San Francisco Bay Area
USD 150K-235K (estimate) Senior-level Full Time
Tasks
- Build internal tooling for evaluation annotation review and error mining
- Build production computer vision models
- Create inference wrappers and export models
- Curate clean version and analyze training datasets
- Design train validate and deploy detection segmentation and OCR models
- Evaluate models and implement robustness improvements
- Improve model performance using architectures losses augmentation and synthetic data
- Partner cross functionally to turn customer issues into model and pipeline improvements
- Perform hard negative mining and annotation QA
- Support model validation release gates and monitoring
- Track and evaluate new computer vision and multimodal approaches
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Annotation QA | Barcode Decoding | CUDA | Computer Vision | Data Augmentation | Data pipeline | Dataset versioning | Error Analysis | Hard Negative Mining | Image Segmentation | Linux | Machine Learning | Model Evaluation | Negative mining | OCR | ONNX | Object Detection | Optical character recognition | PyTorch | Python | Quantization | Synthetic data | TensorFlow | TensorRT | Visual search
Education
N/A
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