Senior AI Engineer- Imaging
Core
Design, develop, and test robust, scalable AI/ML scientific web applications and backend pipelines for high-throughput scientific imaging data processing and visualization.
Role type
Senior IC machine learning engineer (computer vision)
Builds
Scalable AI/ML and computer vision systems for scientific imaging data (microscopy, digital pathology, biomedical imaging)
Domain
Biomedical research / Scientific imaging
Deliverable
production ML models
Required skills
Computer vision algorithms (CNNs, Vision Transformers, UNet, SAM, Cellpose), Deep learning frameworks (PyTorch, TensorFlow, MONAI), Image processing fundamentals, GPU acceleration (CUDA), Cloud-native architectures (Kubernetes, AWS), MLOps principles, High-dimensional data handling (OME-TIFF, Zarr, HDF5)
Preferred skills
Multi-modal data fusion, Biomedical scientist collaboration, GenAI and Vision-Language Models
Technologies
PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, Bio-Formats, CUDA, Kubernetes, AWS
Responsibilities
Design and develop scalable AI/ML scientific web applications and backend pipelines; Build, evaluate, and fine-tune computer vision and deep learning models for biological and clinical imaging; Build tools to evaluate AI/ML model performance and quantify quality; Partner with product managers and research scientists to translate scientific needs into technical specs; Develop and maintain scalable cloud infrastructures and data pipelines; Optimize GPU memory footprint and inference throughput; Contribute to architectural decisions and MLOps processes.
Seniority
Senior, hands-on IC
