Senior Machine Learning Engineer
Core
Develop advanced machine learning models and predictive systems for pasture growth, animal state, health, and activity to optimize farming operations.
Role type
Senior Machine Learning Engineer (Predictive Systems)
Builds
Intelligent agricultural modelling systems for remote sensing, animal identification, and grazing recommendations.
Domain
Agriculture / Precision Farming
Deliverable
production ML models
Required skills
Machine learning theory, Python, end-to-end ML pipeline development, dataset construction, model training and optimization, causal reasoning, working with noisy high-dimensional datasets, AI companion tools
Preferred skills
Advanced ML architectures (Transformers, SSM), agent-based systems, recommendation systems, pasture science knowledge
Technologies
Python, Deep Neural Networks, AI companion tools (Copilot, ChatGPT, Cursor, Claude-code)
Responsibilities
Drive development of predictive systems for real-world farming challenges, conduct literature reviews on ML and pasture science, design and optimize custom ML models, support production deployment and monitoring, proactively innovate on new ideas
Seniority
Senior, hands-on IC