Auckland, New Zealand
We are an award-winning, innovative company designing and building advanced technology to automate farming. Our world leading guidance control techniques shift cows remotely removing the need for fences and eliminating the manual nature of shifting animals. Halter aims to enable a new generation of more efficient, sustainable farming globally.
What will you be working on?
Our GPS enabled, solar powered devices are designed to remotely guide cows. These require robust, long-range wireless communication and conservative power consumption. They also require multiple levels of control software in order to record everything about the animal, understand it and act on this information accordingly. We use this to monitor stock health, feed, behaviour and emotion so that farmers can better understand and treat the needs of each animal. We are always pushing to use the latest advancements in technology and want you to be a part of this process.
The role will include helping with any and all phases of the data science process, including collecting, wrangling, analysing, visualising data, and developing novel machine learning models.
Helping the team collect data from cattle
Data wrangling, sanitisation, stitching and organisation of data
Visualisation and exploration of data
Training of machine learning models
Exploration and development of machine learning models
Evaluation and performance monitoring of machine learning models
Who are we looking for?
We are looking for hard-working and skilled Masters or PhD graduates with at least 3 years experience in the field of data science and machine learning.
Strong proficiencies in the following languages/frameworks/libraries are required:
The following technical and soft skills are also preferred:
Strong problem solving and critical thinking skills
Excellent communication and ability to synergise in any team
Graduated with a Masters or PhD in Data Science, Machine Learning, Artificial Intelligence, or a related field.
Apply - email@example.com
We want to see everything you have that's interesting: CV's, project portfolios, video, links to code, etc.