Identify, diagnose, and resolve model and dataset performance issues using high-resolution imagery. Audit and validate data, run field experiments, collect and translate farmer feedback, coordinate rapid investigations with support and engineering, and document solutions to improve system performance.

The Deep Learning Engineer will design and deploy deep learning systems for autonomous robots, optimize models, and mentor junior engineers.

Maintain and audit high-resolution image datasets, correct labels and classifications, support data annotation quality, diagnose and validate deep learning model issues, perform field tests, document results, and collaborate with support and field teams to prioritize fixes that improve product reliability and customer satisfaction.