Computer Vision, Applied Research Scientist
Tasks
- Build clean baselines and ablations
- Collaborate on deployment quantization and serving
- Debug customer drawing failures
- Define evaluation datasets and metrics
- Design experiments to address failure modes
- Design multi stage vision architectures
- Evaluate models on construction drawings
- Identify model failure modes
- Integrate models into production inference pipeline
- Present findings to engineering leadership
- Run self supervised pretraining experiments
- Run supervised fine tuning experiments
- Shape data acquisition and annotation requirements
- Write research reports
Perks/Benefits
Skills/Tech-stack
Adapters | CLIP | Computer Vision | DINO | Deep learning | Efficient Fine Tuning | Fine Tuning | Graph Neural Networks | Image Segmentation | Inference Pipelines | LoRA | Loss Functions | MAE | Model Evaluation | Multi Stage Modeling | Multimodal vision | Neural Networks | OCR | Object Detection | Optimization | Parameter efficient fine-tuning | PyTorch | Quantization | Regularization | Relational reasoning | SAM | Self-Supervised Learning | Self-supervised | SigLIP | Supervised Learning | Text Spotting | Vision Transformer | Vision-language | YOLO
Education
N/A
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