Machine Learning Engineer - All Levels

8 months ago

Auckland, New ZealandEntry Level / Mid Level / Senior / Staff+

Responsibilities

Develop predictive machine learning systems for biological processes, farm operations, pasture growth, land properties, animal state, health, and activity.
Conduct technical and agricultural literature reviews and translate research into practical applications.
Own model architecture, dataset construction, training, optimization, deployment, and monitoring.
Support machine learning systems in production and learn from their behavior in the field.
Work across infrastructure, databases, simulation, and ML development to deliver innovative solutions.

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 machine learning theory, causal reasoning, model design for real-world dynamics, and intuition for noisy, high-volume, high-dimensional datasets.
Fluency in Python and experience contributing to complex collaborative codebases.
Proficiency with AI companion and engineering productivity tools such as Copilot, ChatGPT, Cursor, and Claude Code.
Excellent communication and cross-disciplinary collaboration skills.
Experience with advanced ML architectures such as Transformers or SSMs, agent-based systems, or recommendation systems is a plus but not required.
Curiosity about pasture-based farming and motivation to understand agricultural problems.

Meaningful work improving farmers’ livelihoods and sustainable agricultural operations.
A high-performing, collaborative, inclusive, office-first culture with flexibility when needed.
Autonomy, learning, and professional growth opportunities.
A $1,000 personal growth fund.
Default expectation of working from the office every day, with a high-trust approach to flexibility.

501-1,000 employees