Machine Learning Engineer - All Levels
Core
Develop advanced machine learning models and predictive systems for pasture growth, animal state, health, and activity to optimize farming operations.
Role type
Machine Learning Engineer (Research & Production)
Builds
Intelligent agricultural modelling systems for pasture efficiency and animal management
Domain
Agriculture / Precision Farming
Deliverable
production ML models
Required skills
Machine learning theory, Python, causal reasoning, dataset construction, model training and optimization, production deployment and monitoring, working with noisy high-dimensional data
Preferred skills
Advanced ML architectures (Transformers, SSM), agent-based systems, recommendation systems, AI companion tools
Technologies
Python, Deep Neural Networks, AI companion tools (Copilot, ChatGPT, Cursor, Claude-code)
Responsibilities
Design and develop predictive systems for real-world farming challenges; conduct literature reviews on ML and pasture science; own end-to-end model development from architecture to deployment; support production systems and learn from field behavior; proactively innovate on new ideas
Seniority
All Levels (Junior to Senior)