The role involves building, owning, and improving scalable AI/ML-based systems to unlock the potential of diverse scientific data for accelerating life-changing treatments
Job Summary
The role involves building, owning, and improving scalable AI/ML-based systems to unlock the potential of diverse scientific data for accelerating life-changing treatments.
Candidates will partner with computational scientists, product leaders, and DevOps teams to translate user needs into actionable technical specifications for modern tech stacks.
Roche offers a culture that encourages personal expression, open dialogue, and genuine connections where every voice matters in the mission to prevent, stop, and cure diseases.
Matching Summary
The role involves building, owning, and improving scalable AI/ML-based systems to unlock the potential of diverse scientific data for accelerating life-changing treatments.
Skills & Requirements
Must-have
5+ years machine learning engineering experience
Expert knowledge of statistics and ML algorithms
Direct experience with Dagster and Kubeflow
Deep understanding of GPU best practices
Experience with Kubernetes and cloud-native architectures
Proficiency in AWS public cloud environments
Nice-to-have
Experience with imaging or biological data
Background in research environments and workflow automation
Specialized areas like GenAI or agents
Passion for continuous learning and collaboration
Ability to span the stack outside core expertise
Key Requirements
Master's or PhD in Computer Science or equivalent
5+ years professional experience in ML engineering