Senior, AI Engineer - (Imaging)

F. Hoffmann-La Roche AG; Basel; On-site; CHF 120,000 - 180,000; Full time

Job summary

F. Hoffmann-La Roche AG is seeking an imaging-focused machine learning engineer within the AI Enablement team to bridge scientific intuition with quantitative analysis in large-scale, state-of-the-art datasets.

You will design, develop, and test robust AI/ML CV applications and backend pipelines for high-throughput imaging, including cell segmentation, tissue analysis, and multimodal data fusion. Expect collaboration across scientists, product leaders, and software engineers in Basel.

Qualifications

• PhD, Master’s with 3–5 years, or Bachelor’s with 4–7 years in CS/biomedical field with ML/vision focus.
• Strong proficiency with AI/ML frameworks and CV libraries.
• Deep expertise in CV algorithms, segmentation, detection, and image analysis.

Responsibilities

• Design, develop, and test scalable AI/ML CV web apps and pipelines for high-throughput imaging.
• Build and evaluate state-of-the-art CV and deep learning models for biological imaging.
• Develop data pipelines and cloud infrastructure for large-scale imaging datasets.
• Contribute to engineering/MLOps processes and code reviews.
• Stay updated on CV tech and promote collaboration across teams.

Skills

Python

PyTorch

TensorFlow

OpenCV

UNet

CNNs

Kubernetes

AWS

Communication

Education

PhD or MSc

Bachelor's degree

Tools

MONAI

Scikit-Image

Napari

Bio-Formats

TensorFlow

OpenCV

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. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.