Computer Vision, Applied Research Scientist
United States (Remote)
R
USD 99K-176K (estimate) Mid-level Full Time
Tasks
- Collaborate on deployment quantization and serving
- Debug production failures on customer drawings
- Define evaluation datasets and metrics
- Design multi stage vision architectures for construction drawing understanding
- Design supervised training strategies
- Develop loss functions and training regimes
- Evaluate models on held out construction drawings
- Identify failure modes and design remediation experiments
- Implement model inference pipeline integration
- Publish research findings in top venues
- Run self supervised pretraining experiments
- Run supervised fine tuning experiments
- Ship models to production inference pipeline
Perks/Benefits
Skills/Tech-stack
Adapters | CLIP | Computer Vision | DINO | DINOv2 | Deep learning | DinoV3 | Efficient Fine Tuning | Evaluation metrics | Fine Tuning | Graph Neural Networks | LoRA | Loss Function | MAE | Neural Networks | OCR | Object Detection | Optimization | Parameter efficient fine-tuning | PyTorch | Quantization | Regularization | Relational reasoning | SAM | Scene Text Detection | Segmentation | Self-Supervised Learning | Self-supervised | Serving | SigLIP | Supervised Fine Tuning | Supervised Learning | Text Spotting | Vision Transformer | Vision-language | YOLO
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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