The primary responsibilities of this role include: Analyze and interpret imagery and metrics generated from field trial data using advanced machine learning and computer vision techniques; Collaborate closely with Field Testing and Data Science partners to integrate digital phenotyping insights into data analysis and model development; Support experimental design by integrating insights from field assessments (UAV, remote sensing, and manual methods); Contribute to system and workflow improvements by applying creativity and problem‑solving to large‑scale data challenges. Preferred Qualifications: Hands‑on experience with modern architectures such as ResNet, UNet, DeepLab, YOLO, SegFormer, SAM, and Vision Transformers; Experience with creating and managing large‑scale datasets, including the use of tools like Hugging Face Datasets; One to two years of UAV imaging experience; Strong analytical and problem‑solving skills; Experience with cloud platforms (AWS, GCP, or Azure); FAA Part 107 license to operate UAVs, or ability to obtain before the start date.