Principal Computer Vision Scientist
Core
Lead advanced Computer Vision and AI/ML research, model architecture design, and production implementation for internal engineering systems and product features.
Role type
Principal Computer Vision Scientist (Senior IC with technical leadership)
Builds
Production ML models, AI-assisted business tools, and internal engineering capabilities
Domain
Electronics distribution, supply chain, and internal software delivery
Deliverable
production ML models
Required skills
Computer Vision, Deep Learning, Machine Learning, Model Architecture Design, MLOps, Python, PyTorch, TensorFlow, Object Detection, Semantic Segmentation, Image Classification, Model Optimization, Data Annotation Management
Preferred skills
Vision Transformers, YOLO, Mask R-CNN, CLIP, SAM, REST APIs, Docker, CI/CD, Experiment Tracking
Technologies
PyTorch, TensorFlow, Python, OpenCV, NumPy, Pandas, scikit-learn, Docker, CI/CD
Responsibilities
Define model architecture and experiment strategy; Train, fine-tune, and deploy models for various CV tasks; Own the full model lifecycle from data analysis to monitoring; Build prototypes and validate new ideas; Integrate ML models into production applications; Provide technical guidance and mentoring to engineering teams; Define standards for model evaluation and MLOps practices.
Seniority
Principal, hands-on IC with technical leadership
