Senior Machine Learning Engineer
Core
Building creative, practical, and robust ML/CV software and infrastructure solutions to train edge ML models on massive real-world farm image data for tractor-mounted camera systems.
Role type
Senior Machine Learning Engineer (Edge Vision & Infrastructure)
Builds
Edge vision AI models, scalable ETL pipelines, and infrastructure for model training, evaluation, and inference on cloud and edge devices.
Domain
AgTech / Computer Vision / Edge Computing
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
Technologies
TensorFlow, PyTorch, Pandas, SQL, Apache Airflow, Spark, AWS, GCP, Azure, Docker, Kubernetes, NVIDIA Jetson
Responsibilities
Build and maintain scalable ETL pipelines for processing large, diverse image datasets; develop, deploy, and monitor infrastructure for model training, evaluation, and inference; design and implement 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
