Senior Machine Learning Engineer

1 month ago

Auckland, New ZealandSenior

Responsibilities

Develop predictive systems that model biological processes, farm operations, pasture growth, land properties, and animal state or activity.
Conduct technical and agricultural literature reviews and apply current machine learning and pasture science research.
Own model architecture, dataset construction, training, optimization, and other phases of machine learning model development.
Deploy and monitor machine learning systems in production and support their behavior in the field.
Work autonomously across infrastructure, databases, simulation, and machine learning development.
Identify innovative opportunities across farm data and collaborate with engineering, product, and design teams.

Deep academic and/or professional experience applying machine learning to real-world problems, potentially including a research-oriented postgraduate degree in mathematics or computer science.
Demonstrated experience designing, deploying, and monitoring machine learning systems in production.
Strong causal reasoning and ability to design models that reflect real-world dynamics.
Strong data intuition and ability to work with noisy, high-volume, high-dimensional datasets.
Fluency in Python and experience contributing to complex, collaborative codebases.
Proficiency with AI companion tools and engineering productivity tooling such as Copilot, ChatGPT, Cursor, and Claude-code.
Excellent communication, collaboration, curiosity, autonomy, and product-minded strategic thinking.
Experience with advanced ML architectures such as Transformers or SSM, agent-based systems, or recommendation systems is a plus but not required.

Meaningful work focused on improving farmer livelihoods and sustainable agricultural operations.
High-autonomy, collaborative, in-person office-first work culture with flexibility when needed.
A $1,000 personal growth fund.
Opportunities for continuous learning, mastery, and professional development.

501-1,000 employees