# Agricultural Scientist at Halter

Halter is hiring an Agricultural Scientist in Auckland, New Zealand. Level rates it Little AI ●○○○; you can [apply on Halter](https://jobsbylevel.com/go/daf51b43-6596-41c5-9de3-295a0f781c6d?utm_medium=ai-agent).

AI Level 1, AI centrality 8 out of 100. Auckland.

## Details

- Company: [Halter](https://jobsbylevel.com/companies/halter)
- AI level: AI Level 1 (score 8 out of 100)
- Location: Auckland
- Posted: August 11, 2026
- Apply: https://jobsbylevel.com/go/daf51b43-6596-41c5-9de3-295a0f781c6d?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=agricultural-scientist-at-halter-e00ee1

## Description

About Halter At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund , Bessemer Venture Partners , BOND, DCVC , Blackbird , Promus Ventures , Rocket Lab’s Peter Beck and Icehouse ventures . To find out more, visit our LinkedIn & Instagram . At Halter we’re looking to push the boundaries of what is possible in agricultural science, in order to provide tools to farmers and ranchers to enable them to operate more effectively. We achieve this by applying the most advanced techniques to leverage the vast amounts of data we have access to. This translates into novel solutions to physical-world modelling that deliver unparalleled. What you’ll do You'll provide agricultural scientific expertise to help shape the next generation of predictive systems for grazing-based agriculture. Working alongside Machine Learning Engineers, Software Engineers and Product Managers, you'll translate agricultural science into innovative products that deliver measurable value to farmers. You'll identify opportunities where science can improve our understanding of farming systems, design experiments to validate new ideas, and help ensure our predictive models remain biologically meaningful. Scientific expertise Apply agricultural science to improve existing predictive systems and identify opportunities for new products. Translate biological understanding into hypotheses that can be evaluated through data and machine learning. Provide scientific guidance during model development, ensuring predictions remain biologically realistic. Interpret model behaviour and help identify opportunities for improvement. Research and experimentation Design and execute scientific investigations that improve model performance and product capability. Identify new measurements, datasets and signals that could enhance predictive systems. Define measurement protocols for capture of validation models, to facilitate training and evaluation of our models Evaluate emerging agricultural research and assess its applicability to our products. Contribute to the scientific validation of new modelling approaches. Collaboration Partner closely with Machine Learning Engineers throughout the model development lifecycle. Work with Data Operations to define data requirements and improve dataset quality. Support Product Managers in evaluating scientific opportunities and trade-offs. Collaborate with customer-facing teams to understand field observations and convert them into research questions. Build relationships with external researchers and subject matter experts where appropriate. What success looks like During your first several months, success will be measured by your scientific impact and your ability to become a trusted partner to our modelling teams. Developing a deep understanding of our predictive systems, data pipelines and modelling approaches. Building trusted relationships across engineering, product and customer teams. Identifying meaningful opportunities where agricultural science can improve product performance. Contributing scientific insight that influences modelling decisions and product direction. Defining

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