AI Enablement ML Engineer: Scalable AI for Drug Discovery

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

Benefits offered by this job

Onsite work 3 days/week

Global collaboration

Job summary

Roche is seeking a Machine Learning Engineer for the AI Enablement group. You will design and deploy scalable ML backends and data pipelines that empower scientists to work smarter, faster.

You’ll collaborate across biology, data science, and DevOps to translate complex scientific needs into robust production systems. We value rigorous software practices, cloud-native architectures (Kubernetes, AWS), and clear communication.

Qualifications

• Master’s degree or PhD in Computer Science or related field.
• 2+ years of professional ML/AI engineering experience.
• Strong foundations in ML, statistics, and data modeling.

Responsibilities

• Design scalable AI/ML backends and data pipelines.
• Collaborate with researchers, data scientists, and DevOps.
• Translate scientific needs into production-grade systems.
• Apply rigorous software engineering practices (testing, CI/CD).

Skills

Master's degree

2+ years experience

Strong ML fundamentals

Python programming

Education

Master's degree

PhD in Computer Science

Tools

Kubernetes

AWS

CI/CD

Job description

Roche is seeking a Machine Learning Engineer for the AI Enablement group. You will design and deploy scalable ML backends and data pipelines that empower scientists to work smarter, faster.

You’ll collaborate across biology, data science, and DevOps to translate complex scientific needs into robust production systems. We value rigorous software practices, cloud-native architectures (Kubernetes, AWS), and clear communication.