Jobs in Auckland, New Zealand

About the role

Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system. You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations. You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you'll share our passion for technology and our commitment to optimizing the management of pastural grazing systems. As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas. You will be restless with respect to advancing your own impact across the stack, leveraging AI companion tools and agents.

What you'll bring

• you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine-learning systems, and pasture science.
• You will be required to work with autonomy across infrastructure, databases, simulation, and ML development.
• You will be required to provide extra strength in machine-learning theory, and its application to maximizing pasture efficiency.
• Demonstrated experience designing, deploying, and monitoring machine learning systems to productionStrong causal reasoning and an ability to design models that reflect real-world dynamicsStrong data intuition and ability to work with noisy, high volume, high-dimensional datasets
• Fluency in Python and experience contributing to or working on complex, collaborative codebasesProficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code)
• Excellent communication skills and a collaborative working style across disciplines
• Our Office First Approach.
• There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom.
• Humans are wired for connection.
• We believe a world-class, in-person office culture is the best way for high-performing teams.
• Being office first is a core pillar of our culture.
• We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships.