This is a Machine Learning Engineer role with one of the leading companies in AU right now Xero with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at Xero At Xero, our purpose is to make life better for people in small business, their advisors, and communities around the world. This purpose sits at the centre of everything we do. We support our people to do the best work of their lives so that they can help small businesses succeed through better tools, information and connections. Because when they succeed they make a difference, and when millions of small businesses are making a difference, the world is a more beautiful place. AI Products at Xero The AI Products group exists to collaboratively build products that use AI and ML to reduce toil and deliver the right insight at the right time. Working within the Data & Science team, you will join a diverse, globally distributed team of scientists, engineers, product managers, and analysts who help Xero turn data into beautiful, insightful products. The role ML engineers design and build the infrastructure and services that power AI products that serve millions of customers every day. They also work closely with Applied Scientists through the research and development process to create harnesses and to safely take models from research to production environments. As a Senior Machine Learning Engineer, you'll lead the technical delivery of projects and design system architectures, collaborating with senior colleagues. Life at Xero As a Machine Learning Engineer at Xero, you’ll be joining us on our mission of applying theory to real world problems in a pragmatic and creative way You’ll have exposure to a variety of complex challenges at a global scale, whether it’s working with cutting edge language models or more traditional ML methods – you’ll get to create AI Products that delight our end users and help save them time To tackle the hard problems we’re aiming to solve, you’ll - Build our AI research and production infrastructure and services, ensuring their scalability while preserving flexibility for research teams - Make sure we're solving the right problems with the right methods - Share knowledge with colleagues and lifting the bar for the AI Products team - Work with teams across Xero to improve the quality and usability of data Here is what we look for in a Machine Learning Engineer at Xero : - Experience delivering ML and AI products at scale including strong SQL skills, understanding of distributed processing (data, ML, etc) and collaboration with scientific disciplines (statistics, ML) and Tensorflow is a nice to have - You like to solve hard problems and understanding how things work - You are comfortable learning new frameworks (distributed processing, ML, etc) and applying them to real problems - You are willing to dive into the unknown, and allow new information to change your decisions - Constant learning and growth are an important part of who you are - You are always willing to learn from others, ask for help and grow and mentor early career engineers If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like Xero. ✅ Applying here is the first step in the hiring process for this role at Xero. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.