Senior Engineer, Machine Learning
Core
Design, develop, and optimize deep learning models for biological image analysis, classification, and multimodal data interpretation to support research and development.
Role type
Senior IC machine learning engineer (computer vision/biological imaging)
Builds
Production-grade neural network models for imaging instruments and cloud infrastructure
Domain
Biotechnology / Computational Biology / Computer Vision
Deliverable
production ML models
Required skills
Deep learning architectures (CNNs, Vision Transformers, U-Net), Python, PyTorch, OpenCV, cloud infrastructure (AWS), containerization (Docker), GPU-accelerated compute, statistical analysis, experimental design
Preferred skills
Self-supervised or contrastive learning, biological image modalities (fluorescence microscopy, high-content imaging), single-cell/multiomic data analysis, model calibration and uncertainty quantification
Technologies
PyTorch, torchvision, OpenCV, Scikit-learn, NumPy, Pandas, AWS, Docker
Responsibilities
Design and optimize deep learning models for biological image analysis; Deploy and maintain production-grade neural networks on cloud or instruments; Develop end-to-end ML pipelines from ingestion to inference; Analyze single-cell and multiomic data to support biological context; Collaborate with biology and engineering teams to translate requirements into modeling objectives; Evaluate large-scale imaging datasets to identify patterns and model improvements
Seniority
Senior, hands-on IC