Get Involved
We’re always on the lookout for the right people to join our close-knit, highly ambitious team. Help us introduce cutting edge ML\AI to the world of supply chain.
You’ll have some fun with our tech stack as we do our bit to make the world a better place through less wastage and greater efficiencies.
Join our team
Current Vacancies
Sydney Office
Junior Machine Learning Software Engineer:
The right candidate will have extensive experience in software engineering and will have dabbled in data science, machine learning, statistical modelling and programming. Apply here.
Contract: Machine Learning Software Engineer:
For a specific project, looking for a candidate for 2-3 months on a priority task. Extensive experience in software engineering and project management and will have dabbled in data science, machine learning, statistical modelling and programming. Apply here.
Graduate Data Scientist:
Strong maths background and proficiency in python preferred. Successful applicant will have the opportunity to work on a wide array of data science project including predictive maintenance and inventory management. Apply here.
Santa Rosa Office
Data Analyst:
Strong maths background and proficiency in python preferred. Successful applicant will have the opportunity to work on a wide array of data science project including predictive maintenance and inventory management. Apply here.
Computer Vision Expert:
Participate in cutting edge research in machine learning and computer vision applications. Apply expert software development skills to a wide range of ML-related coding projects and develop solutions for real world problems. Apply here.
Internships
Sydney Office
We run two internship programmes, four times a year.
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Our AI Internship is designed for engineers and mathematicians and offers hands on experience on real projects using algorithms we have created in house.
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Our Business Internship is open to anyone with an interest in how a startup runs, our approach to strategic problems and the various other problems our business division deal with daily.
We are a small team, with everyone carrying out multiple roles. Successful applicants can expect to learn a lot in their time with us, and hopefully teach us a thing or two.