Senior Machine Learning Engineer
Core
Building edge vision AI models and infrastructure to analyze farm imagery from tractor-mounted cameras for yield estimation, crop health, and disease detection.
Role type
Senior Machine Learning Engineer (Computer Vision & Edge AI)
Builds
Edge ML models, scalable ETL pipelines, and inference infrastructure for agricultural robotics
Domain
Agriculture / Computer Vision / Edge Computing
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Pandas, SQL, Apache Airflow, Spark, AWS/GCP/Azure, Docker, Kubernetes, MLops, data engineering
Preferred skills
NVIDIA Jetson deployment, edge device optimization, embedded compute
Responsibilities
Build and maintain scalable ETL pipelines for large image datasets; develop, deploy, and monitor cloud and edge inference infrastructure; design active sampling infrastructure; integrate ML solutions into production robotics; collaborate with agronomists to translate domain knowledge into ML features
Seniority
Senior, hands-on IC
