Sr Machine Learning Engineer

About the Role The GCF5 Sr Machine Learning Engineer is the senior technical leader for the Agentic & ML Platform pillar. They define and socialize platform standards and patterns, lead multi-team delivery, mentor GCF4 engineers, and translate scientific needs into scalable ML/agentic platform designs. They own pillar-level adoption, reliability, and SLA/SLO outcomes, and influence cross-team engineering quality.This role reports to the GCF7 leader and partners closely with peer GCF5 domain leads across SCIP to ensure cohesive, scalable platform evolution. What You'll Do

• Own the ML and agentic platform technical roadmap within SCIP.
• Design and operationalize reusable ML/agentic infrastructure components enabling repeatable deployment.
• Define evaluation harnesses and model release gates.
• Establish monitoring, rollback, and observability practices for production ML systems.
• Implement guardrails and operational controls for safe agentic workflows.
• Define reproducibility standards and artifact versioning practices.
• Lead architecture reviews for ML platform evolution.
• Mentor engineers and elevate ML engineering rigor.
• Partner with research stakeholders to translate AI use cases into scalable platform capabilities. What We're Looking For
• Deep expertise in the assigned pillar (Agentic & ML Platform) with evidence of standard-setting and reuse.
• Systems design at scale (ML); performance, security, and observability fundamentals.
• Product/engineering thinking: road mapping, prioritization, and outcome-oriented delivery.
• Stakeholder influence across science, engineering, and governance forums; crisp written/verbal communication.
• Ability to influence and collaborate across GCF6/SCIP groups and governance interfaces.
• Qualifications: BS+8 / MS+6 / PhD in CS/Engineering/Data disciplines. Demonstrated production delivery experience in ML/agentic platforms at scale. Demonstrated literacy in a relevant scientific domain (e.g., biology, chemistry, therapeutics).