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 valuable new data collection and experimentation opportunities.

• Helping establish effective ways of incorporating scientific thinking into our product development process.

Must-have experience

• MSc or PhD in Agricultural Science, Agronomy, Animal Science, Plant Science or a related discipline.

• Significant experience applying agricultural science to solve real-world problems.

• Strong understanding of grazing systems and agricultural production.

• Experience designing, conducting and interpreting scientific investigations.

• Excellent communication skills with the ability to explain complex scientific concepts to multidisciplinary teams.

• Ability to influence technical decisions through expertise rather than authority.

Strongly preferred

• Experience working with data science, predictive modelling or machine learning applications.

• Experience within agricultural technology or precision agriculture.

• Strong quantitative and analytical skills.

• Experience working with large datasets to support scientific investigations.

Nice-to-have

• Experience in a commercial technology company or startup.

• Scientific publications or recognised technical contributions.

• Existing relationships within the agricultural research community.

• Experience collaborating with software engineering or product development teams.

• Familiarity with remote sensing, sensor technologies or digital agriculture.

Why our team loves working at Halter:

• Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.