Agricultural Scientist

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

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