Senior AI Engineer — Biomedical Imaging & Vision Systems

F. Hoffmann-La Roche AG; South San Francisco (CA); On-site; USD 168,000 - 312,000; Full time

Job summary

Genentech, a Roche company, is seeking a senior AI/ML software engineer to design, develop, and test scalable CV-based web apps and pipelines for high-throughput imaging data. You will build, evaluate, and fine-tune state-of-the-art models (cell segmentation, classification, and phenotyping) and optimize GPU memory and throughput in cloud environments.

You will collaborate with product managers and researchers to translate complex scientific imaging needs into technical specs, contribute to

Qualifications

• PhD or Master with 3–5 years, or Bachelor with 4–7 years in a technical field focusing on ML and CV.
• Strong proficiency with AI/ML frameworks and CV libraries (PyTorch, TensorFlow, OpenCV, MONAI).
• Deep expertise in CNNs, Vision Transformers, UNet, and quantitative image analysis.
• Experience with high-dimensional imaging data and GPU-accelerated computing.
• Familiarity with cloud-native architectures, Kubernetes, and MLOps basics.

Responsibilities

• Design, develop, and test scalable AI/ML CV applications and pipelines for imaging data.
• Build and fine-tune state-of-the-art CV models for segmentation and classification.
• Evaluate model performance, establish benchmarks, and monitor drift over time.
• Collaborate with product managers and researchers to translate imaging needs into specs.
• Maintain scalable cloud data pipelines and optimize GPU memory and throughput.
• Contribute to architecture, code reviews, and CI/CD/MLOps practices.
• Span full stack work as needed and stay current with CV tech trends.

Skills

Python

Computer Vision

Deep Learning

CUDA

CI/CD

Education

PhD or Master in CS/Engineering

Tools

PyTorch

TensorFlow

OpenCV

MONAI

Scikit-Image

Napari

Bio-Formats

Kubernetes

CUDA

Job description

Genentech, a Roche company, is seeking a senior AI/ML software engineer to design, develop, and test scalable CV-based web apps and pipelines for high-throughput imaging data. You will build, evaluate, and fine-tune state-of-the-art models (cell segmentation, classification, and phenotyping) and optimize GPU memory and throughput in cloud environments.

You will collaborate with product managers and researchers to translate complex scientific imaging needs into technical specs, contribute to