Senior Machine Learning Engineer
Core
Building creative, practical, and robust ML/CV software and infrastructure to analyze billions of fruit images collected by tractor-mounted camera systems on farms.
Role type
Senior Machine Learning Engineer (Computer Vision & Infrastructure)
Builds
Scalable ETL pipelines, edge ML models, and infrastructure for model training, evaluation, and inference.
Domain
Agriculture technology / Computer Vision / Robotics
Deliverable
production ML models | infrastructure
Required skills
Python, TensorFlow, PyTorch, Pandas, SQL, Apache Airflow, Spark, AWS/GCP/Azure, Docker, Kubernetes, MLops, data engineering
Preferred skills
NVIDIA Jetson deployment, edge ML/CV model prototyping and optimization
Responsibilities
Build and maintain scalable ETL pipelines for large, diverse image datasets; develop, deploy, and monitor infrastructure for model training, evaluation, and inference; design intelligent active sampling infrastructure; collaborate with multidisciplinary teams to integrate ML solutions into production robotics systems; work with agronomists and farmers to translate domain knowledge into actionable ML features.
Seniority
Senior, hands-on IC
