Senior ML Engineer: AI Enablement & Scalable Data Pipelines

F. Hoffmann-La Roche AG; Basel; On-site; CHF 150,000 - 210,000; Full time

Job summary

Roche is seeking a Senior Machine Learning Engineer to join the AI Enablement team. You will architect and deliver AI-powered data platforms that accelerate drug discovery, working with researchers and engineers to deploy robust solutions.

You will lead end-to-end ML product development, optimize model performance, and embed best practices for CI/CD, testing, and documentation. A strong foundation in statistics, ML theory, and cloud-native tech is essential to succeed.

Qualifications

• Master’s degree with 5+ years of professional experience or a PhD with 3+ years in Computer Science or a related field.
• Strong knowledge of statistics and ML theory is required.
• Experience across ML lifecycle from data to production and experimentation.

Responsibilities

• Lead architecture and delivery of AI enablement systems.
• Own end-to-end technical execution and set architectural standards.
• Drive cross-functional collaboration with researchers, engineers, and data scientists.
• Build scalable data pipelines and agentic AI products to accelerate research.

Skills

GPU optimization

ML lifecycle

Cloud-native architecture

Software engineering best practices

Cross-functional collaboration

Education

Master’s degree in Computer Science

PhD in a related field

Tools

Kubernetes

AWS

TensorFlow

PyTorch

Job description

Roche is seeking a Senior Machine Learning Engineer to join the AI Enablement team. You will architect and deliver AI-powered data platforms that accelerate drug discovery, working with researchers and engineers to deploy robust solutions.

You will lead end-to-end ML product development, optimize model performance, and embed best practices for CI/CD, testing, and documentation. A strong foundation in statistics, ML theory, and cloud-native tech is essential to succeed.