Senior, AI Engineer - (Imaging)

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

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

As an imaging-focused machine learning engineer within the AI Enablement team, you will be working closely with folks that span the gamut across computational scientists, biologists, bench scientists, AI/ML experts, product leaders, software engineers, and everyone in between. Your work will help bridge scientific intuition with quantitative analysis, enable richer phenotypic analysis, and provide new multimodal capabilities across large-scale, state-of-the-art datasets. You'll build, own, and constantly improve scalable AI/ML and computer vision systems that unlock the potential of our diverse scientific imaging data (e.g., microscopy, digital pathology, biomedical imaging, etc), accelerating the discovery and development of life-changing treatments for patients.

The Opportunity

• Design, develop, and test robust, scalable, and maintainable AI/ML scientific web applications and backend pipelines tailored for high-throughput scientific imaging data processing and visualization.

• Build, evaluate, and fine-tune state-of-the-art computer vision and deep learning models (e.g., cell segmentation, cell classification, phenotypic profiling, tissue segmentation, feature extraction, and image registration) applied to biological and clinical imaging modalities.

• Build tools to evaluate AI/ML and vision model performance, establish benchmark datasets, and quantify model quality, robustness, and drift over time.

• Develop and maintain scalable cloud infrastructures and data pipelines for collecting, structuring, storing, and accessing large-scale multi-dimensional imaging datasets (e.g., OME-TIFF, Zarr, HDF5).

• Contribute to architectural decisions, code reviews, and the evolution of engineering and MLOps processes for computer vision models.

• Stay up-to-date with emerging computer vision technologies and industry best practices while promoting a culture of continuous learning, collaboration, and curiosity.

Who You Are

• PhD, Master’s with 3–5 years, or Bachelor’s with 4–7 years experience with a degree in Computer Science, Biomedical Engineering, Electrical Engineering, Computational Biology, or a related technical field with focus on machine learning engineering and computer vision.

• Strong proficiency with AI/ML frameworks and computer vision libraries (e.g., PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, or Bio-Formats).

• Deep expertise in computer vision algorithms (e.g., CNNs, Vision Transformers, UNet, SAM/Segment Anything, Cellpose).

• Expert knowledge of machine learning theory, image processing fundamentals, object detection, instance segmentation, and quantitative image analysis.

• Demonstrated experience working with high-dimensional scientific imaging data (e.g., fluorescence/brightfield microscopy, digital pathology whole slide images, high-content screening, multiplexed imaging, etc).

• Experience with Kubernetes, relational databases, NoSQL databases, object storage, and cloud-native architectures in public clouds (ideally AWS).

• Excellent communication skills and ability to build trusted partnerships with scientific collaborators, bioimage analysts, and cross-functional teams.

• Experience with multi-modal data fusion (combining scientific imaging with genomics, transcriptomics, or clinical tabular data) or in a pharma/biotech research environment.

• Experience with workflow automation, GenAI, Vision-Language Models, and/or AI agents.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.