Roche’s Computational Sciences Center of Excellence (CoE) is a strategic group that harnesses data and AI to support drug discovery and development. The Engineering - AI Enablement group works with scientific partners to embed AI across research organizations and build scalable AI/ML solutions.ResponsibilitiesDesign, develop, and test robust, scalable, and maintainable AI/ML-facing scientific web applications and backend systemsBuild tools to evaluate AI/ML model performance and establish new ways to understand AI qualityPartner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specificationsDevelop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data‑driven initiativesImplement, adopt, or evaluate new AI/ML algorithms and analytical techniquesContribute to architectural decisions, code reviews, and the evolution of our development processesBe willing to span the stack and contribute where needed, even outside of your core area of expertiseStay up‑to‑date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosityQualificationsMaster’s or PhD in Computer Science or similar technical field (or equivalent experience) with 5+ years of professional experience in machine learning engineering rolesExpert knowledge of statistics, machine learning theory, and algorithms, and strong proficiency with various AI/ML frameworks, libraries, and toolsetsDirect experience with Dagster and Kubeflow, deep understanding of ML performance optimisation and GPU best practicesExperience with Kubernetes, relational/NoSQL databases, or data lakes and extensive work on cloud-native architectures in public clouds, ideally AWSStrong engineering best practices and excellent communication skills; passion for learning and quickly acquiring new technologiesExperience with imaging or biological data, research environments, workflow automation, and specialised areas such as GenAI or agents is desirableAdditional Requirements: This position requires on‑site work 3 days per week.Roche is an Equal Opportunity Employer.
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