The ML Engineer builds AI research and production infrastructure, collaborates with teams on project delivery, and writes tested code.
Our Purpose
At Xero, we’re here to help you supercharge your business. We do this by automating routine tasks, surfacing actionable insights and connecting businesses with the right data, advisors and apps. When that happens, we’re not only making life better for small business, we’ll be building a stronger economy that can change the world.
About the team
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.
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 interfaces to safely take models from research to production environments. As a Machine Learning Engineer, you'll collaborate with senior colleagues to design and build ML services and workflows.
About the role
- Building key components of the AI research and production infrastructure and services
- Playing an important role in informing decisions around delivery timelines and risks
- Delivering tested and well documented code that solves defined engineering problems
About you
- You have 3+ years in a software engineering role, building services at scale
- Previous collaboration with scientific disciplines (statistics, ML) is a nice to have
- You are drawn to solving 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 and ask for help
What you'll bring with you
- Strong coding and system design skills in Python or another language used in web scale data and AI applications
- Ability to take a well-defined engineering problem and solve it in a simple and robust fashion
- Strong written and verbal communication skills for communicating technical concepts to your team
Why Xero
Offering very generous paid leave to use however you’d like (plus statutory holidays!), dedicated paid leave to care for your physical and mental wellbeing as well as an Employee Assistance Program to access mental health care for you and your family, free medical insurance, wellbeing and sports programmes, employee resource groups, 26 weeks of paid parental leave for primary caregivers, an Employee Share Plan, beautiful offices, flexible working, career development, and many other benefits that reflect our human value, you’ll do the best work of your life at Xero.
Our collaborative and inclusive culture is one we’re immensely proud of. We know that a diverse workforce is a strength that enables businesses, including ours, to better understand and serve customers, attract top talent and innovate successfully. At Xero we embrace diversity and inclusion and value a #challenge mindset.
Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single competency or experience . If you are excited about this role, but your past experience doesn't align perfectly, we encourage you to apply anyway. You could be just the right person for this role and Xero. If you have any support or access requirements, we encourage you to advise us at time of application and throughout the interview process.
Xero is an NZ Immigration Accredited Employer and Rainbow Tick certified too.
Top Skills
AI
Distributed Processing
Machine Learning
Python
Xero Sydney, New South Wales, AUS Office
Our office is in the heart of the Sydney CBD with views of the Sydney Harbour Bridge. We're just over by Wynyard Park so it's easy to get to.
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