Principal Computer Vision Engineer
Core
Lead the design, development, and scaling of drone-based computer vision platforms for agricultural R&D, processing hundreds of terabytes of aerial imagery to automate field assessments.
Role type
Principal Computer Vision Engineer (Team Lead)
Builds
End-to-end image analysis systems from drone capture through ML inference to data output for crop protection product development
Domain
Agriculture R&D / Precision Farming / Remote Sensing
Deliverable
production ML models
Required skills
Computer vision, Machine learning, Python, Linux, Photogrammetry, AWS cloud infrastructure, Large-scale image processing pipelines, Team leadership
Preferred skills
Agriculture/crop science domain knowledge, Multispectral/hyperspectral sensor data analysis, Large vision-language models, Foundation models
Technologies
Python, Linux, AWS, Metashape, Pix4D
Responsibilities
Lead a team of computer vision engineers setting technical direction and developing talent; Architect and maintain end-to-end image analysis systems; Design and train ML models for plant counting, height measurement, health assessment, and disease/weed detection; Manage AWS cloud infrastructure for large-scale workloads; Drive integration of emerging AI/ML technologies; Collaborate with R&D biologists and operational teams
Seniority
Principal, hands-on IC with people management
