Senior Imaging AI Engineer | Vision & Biotech

Roche; Basel; On-site; CHF 140,000 - 190,000; Full time

Job summary

Roche in Basel is seeking an imaging-focused machine learning engineer within the AI Enablement team. You will build scalable AI/ML systems for diverse biomedical imaging data and collaborate across scientists and engineers.

You will design, train, and evaluate CV models, implement data pipelines, and contribute to MLOps and cloud infrastructure to accelerate discovery and development of therapies.

Qualifications

• PhD, Master’s or Bachelor’s in CS/Engineering/Computational Biology or related field with ML and CV focus.
• Strong proficiency with AI/ML frameworks and CV libraries, and experience with clinical/biomedical imaging data.
• Deep expertise in CV algorithms and ML theory, image processing and quantitative analysis.
• Experience with high-dimensional scientific imaging data and cloud-native architectures.

Responsibilities

• Design, build, test scalable AI/ML web apps and backend pipelines for high-throughput imaging.
• Develop and fine-tune state-of-the-art CV models (CNNs, ViT, UNet) for biological imaging.
• Create tools to evaluate model performance, datasets, and drift over time.
• Develop and maintain scalable cloud infrastructures and data pipelines for large imaging datasets.
• Contribute to architectural decisions and MLOps processes for CV models.
• Stay current with CV tech and promote collaboration and learning.

Skills

PyTorch

TensorFlow

OpenCV

MONAI

Scikit-Image

Napari

Bio-Formats

CNNs

Vision Transformers

UNet

SAM/Segment Anything

Cellpose

Kubernetes

Databases (SQL/NoSQL)

Cloud architectures (AWS)

Multi-modal data fusion

Education

PhD, Master’s or Bachelor’s in CS/Engineering/Computational Biology

Tools

Kubernetes

Relational databases

NoSQL databases

Object storage

Cloud-native architectures (AWS)

Job description

Roche in Basel is seeking an imaging-focused machine learning engineer within the AI Enablement team. You will build scalable AI/ML systems for diverse biomedical imaging data and collaborate across scientists and engineers.

You will design, train, and evaluate CV models, implement data pipelines, and contribute to MLOps and cloud infrastructure to accelerate discovery and development of therapies.