Computer Vision Research Engineer
Tasks
- Analyze customer data failure cases
- Apply research to production systems
- Build computer vision models
- Debug model breakdowns
- Detect objects in images
- Evaluate model performance
- Implement low latency inference
- Ingest training data
- Integrate models into product features
- Label training data
- Own end to end model pipelines
- Reason over construction drawings
- Reduce inference latency
- Run OCR on documents
- Scale model accuracy and robustness
- Segment images
- Ship models to production
- Train machine learning models
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Ingestion | Data labeling | Deep learning | Document AI | Image Segmentation | Language Models | Latency optimization | Low Latency | Low Latency Inference | Machine Learning | Model Deployment | Model Evaluation | Object Detection | Optical character recognition | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
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