Senior Engineer - Machine Learning & AI Enablement

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.

At Roche, we advance science so that we all have more time with the people we love. A healthier future. For a world where everyone has access to the healthcare they need today and for the generations to come. For this, we believe the next breakthrough in medicine will be powered by the intersection of computational engineering and biology. We are building the infrastructure that transforms AI from an experimental concept into a reliable, high-impact utility for our researchers.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and AI to assist scientists to deliver more innovative and transformative medicines for patients worldwide.

Within the CoE, the Data and Digital Catalyst (DDC) organisation drives the modernization of computational and data ecosystems and integration of digital technologies across Research & Early Development. The AI Enablement Engineering group sits at the heart of this mission. We aren't just training models; we are building scalable systems, data pipelines, and intelligent applications that enable our scientists to work smarter, not harder.

From optimizing model performance to designing end-to-end agentic workflows, our goal is to put powerful AI tools directly into the hands of those driving drug discovery to power data-driven science and accelerate decision making. We are a cross-functional, impact-driven team that values cognitive diversity and technical excellence. Here, you’ll partner with biologists, computational scientists, data experts, and researchers to architect a future where AI/ML is an essential component of every scientific discovery.

If you’re an engineer who thrives on solving complex problems, spans the stack with curiosity, and wants to build tools that truly change lives, we want to hear from you.

As a Senior Machine Learning Engineer in AI Enablement, you will lead the architecture and delivery of systems that unlock scientific data across complex work streams. You will own end-to-end technical execution, setting architectural standards that turn AI into a reliable, high-impact utility for researchers. Partnering across computational sciences, product leaders, and engineering teams, you will drive technical strategy and take ownership of critical AI/ML products.

You will combine engineering rigor with proactive problem solving to guide cross-functional teams and foster technical growth across the organization. Lead technical design, architecture, and hands‑on implementation of agentic AI solutions and scalable data pipelines to solve complex scientific challenges. Drive end-to-end delivery of high-impact products and work streams, establishing software engineering best practices (testing, CI/CD, documentation) and evaluation standards. Shape foundational architecture decisions, champion best practices through code reviews, and proactively resolve technical…