Halter takes in over 9000 data points per minute per collar. With hundreds of thousands of collars in the field, we need to ensure we're engineering data in a way that allows farmers to leverage what is now the largest dairy cow behaviour dataset in the world.

Be a part of one of the most unique and interesting data teams in NZ. At Halter we have full ownership of our end-to-end data pipeline, from the collars which generate the data through to the app where our customers interact with our models' predictions. This means that as data engineers, data scientists and R&D engineers we have huge ownership over the products we build, and are able to move incredibly quickly. In addition, the problem spaces we work in are always on the leading edge, with datasets and problems that have never been conceived of before, meaning that every day we are pushing the boundaries of our field.

Our fleet of collars are continuously streaming high-frequency animal movement data, which we integrate with satellite images and other data sources to form a rich picture of our farms at any point in time. Our ML models integrate this data to predict everything from a cow's health and pregnancy status, through to the amount of grass in each paddock, and the health and performance of our IoT devices in the field. Our mission is to continue to build on this platform, adding new features and models and increasing accuracy of our models, to add to the value of our product. The daily tasks that we focus on range from deep R&D into new problem spaces, through to monitoring, tuning and optimising existing models, and to interfacing with product, engineering and customers to integrate ML into the wider Halter system.

Still curious? Watch our team tell stories about why they enjoy working in the Data & Systems team at Halter.