Machine Learning Engineer - Vision

Job description

Job responsibilities

• Research, develop, and deploy cutting-edge object detection and segmentation models for layout analysis, document understanding, and semantic part understanding
• Work alongside the core engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies
• Develop evaluation frameworks to capture metrics that extend beyond mAP/IoU, precisely quantifying system behavior and user impact
• Collaborate with the other members of the machine learning team to set the technical and product roadmaps for the AI platform
• Burn down the long tail, as every percentage point of accuracy maps to man-years of time savings at our scale

Job requirements

• 5-8 years of professional experience building and shipping computer vision models, with an emphasis on detection and/or segmentation
• Deep expertise in modern architectures using transformer backbones (ViT, Swin, etc…)
• Strong Python and PyTorch fluency: You've written custom training loops, loss functions, and data loaders from scratch when needed
• Production deployment ownership: You've shipped models to production and have been responsible for endpoint and model health
• MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally