StaffMachineLearningEngineer

ABOUT AUROR At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Founded in New Zealand 11 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team. We're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function. ABOUT THE ROLE We want to arm our retail customers with actionable and unrivaled insight into their business - using real-time data. We currently have 13,500 retail stores using our platform globally with over 50,000 retail users. We are looking for an innovative Machine Learning Engineer to help explore the insights present in our data and use machine learning to deliver smart features at scale. You will work collaboratively with the rest of the data team, product squad, the wider business, and customers at times. You will have the freedom to design and build ML projects from end to end; this includes solution design, data science, working with engineers to operationalise ML, and constantly improving results as algorithms become part of production systems. This is not a resear