Watsonville, California30+ days ago
This role sits within an emerging R&D IT function embedded in Global R&D and partners closely with Global IS, scientists, product leads, and engineers to define how AI is safely and repeatedly deployed across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows. Candidate Profile:5+ years of experience in machine learning engineering, platform engineering, MLOps, cloud architecture, or adjacent technical roles supporting production AI/ML systems.