Machine Learning Engineer

Posted 2 Days Ago
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Clarence City, Tasmania, AUS
Hybrid
Mid level
Cloud • Fintech • Information Technology • Machine Learning • Software
At Xero, we’re here to help you supercharge your business.
The Role
Design and build scalable ML infrastructure and services to productionise models. Develop data orchestration pipelines, support real-time AI services, and collaborate with scientists and engineers to deliver LLM-powered features for millions of users.
Summary Generated by Built In

The role & impact

At Xero, ML Engineers are the builders behind the intelligence. As an ML Engineer within the AI Products group, you will design and develop the infrastructure and services that power AI products reaching millions of customers every day. Working closely with Applied Scientists, you will help take models from research environments into reliable, scalable production systems — bridging the gap between experimentation and real-world impact.

This is a role where the work you do genuinely matters. The systems you build sit at the heart of Xero's AI capabilities, helping small businesses save time, make better decisions, and focus on what they do best.

The team & how they connect

The AI Products group sits within Xero's Data & Science function and brings together ML Engineers and Applied Scientists focused on turning data into products that genuinely improve the day-to-day lives of small business owners. The team is globally distributed and works closely across disciplines — engineering, science, product, and analysis — so that AI capabilities move from research into the hands of customers effectively and responsibly. Collaboration and knowledge sharing are core to how this team operates.

The team is currently working on

  • A Python-based ML infrastructure built to support both research flexibility and production reliability, including tooling across MLFlow, TensorFlow, and PyTorch

  • Data orchestration pipelines using Airflow and Prefect, with distributed processing workloads running on AWS EMR

  • Scalable AI services that serve real-time product experiences for millions of Xero users

  • The next generation of LLM-powered features, exploring how large language models can reduce toil and surface better insights for small businesses

Where and how you can work

Here are some of the things we are looking for

  • Strong coding skills in Python and a solid grasp of system design principles for data and AI applications at scale

  • SQL proficiency and familiarity with distributed processing frameworks such as Spark or Dask

  • Hands-on experience with ML tooling — frameworks like MLFlow, TensorFlow, or PyTorch, and orchestration tools such as Airflow or Prefect

  • The ability to communicate technical concepts clearly to both technical and non-technical audiences

  • An interest in how LLM technologies can be applied to real product challenges, and a willingness to learn and experiment in this space

  • Comfort working collaboratively across engineering and science disciplines, contributing to shared standards and practices

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Skills Required

  • Strong coding skills in Python
  • Solid grasp of system design principles for data and AI applications at scale
  • Experience productionising ML models and taking models from research to production
  • SQL proficiency
  • Familiarity with distributed processing frameworks such as Spark or Dask
  • Hands-on experience with ML tooling and frameworks (MLFlow, TensorFlow, or PyTorch)
  • Experience with orchestration tools such as Airflow or Prefect
  • Ability to communicate technical concepts clearly to technical and non-technical audiences
  • Interest in LLM technologies and willingness to learn and experiment
  • Comfort working collaboratively across engineering and science disciplines and contributing to shared standards

Xero Compensation & Benefits Highlights

  • Leave & Time Off Breadth Paid time off in the U.S. is extensive, including 21 days of annual leave, 10 days of wellbeing leave, five Xtra days, three year‑end company holidays, and one paid volunteer day. These layered leave types emphasize work–life balance beyond standard vacation alone.
  • Parental & Family Support Primary caregivers are offered 26 weeks at 100% pay and partners receive six weeks, with employer‑verified applicability for U.S. staff. Family‑forming support via Carrot complements these policies.
  • Healthcare Strength Coverage includes medical through Cigna/Kaiser, dental, vision, FSAs, and mental‑health support via Modern Health. The package reflects broad health support alongside time‑off and family programs.

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The Company
HQ: Wellington
4,500 Employees
Year Founded: 2006

What We Do

Xero is small business accounting software that provides a platform on which businesses can build a fully integrated solution. It’s designed to make life better for people in small business, their advisors, and communities around the world. Xero minimises tedious admin by automating routine tasks, delivers valuable insights when needed, and brings together business data, trusted advisors, and powerful apps in one intuitive platform. By alleviating pain points, Xero empowers small business owners to supercharge their business, simplifying the complex and freeing up time from manual admin so they can focus on what really matters to build the business they’ve always envisaged.

Why Work With Us

Xero is a human-centric organization where you’ll have a tangible impact on the success of small businesses and their communities, globally. Our team of energised, forward-thinkers work to make life better for our customers and each other every day. We’re also always committed to supporting you with a flexible environment.

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Employees engage in a combination of remote and on-site work.

Join us from home or at one of our beautiful workspaces. Xero has offices in Australia, New Zealand, United Kingdom, United States, Canada, Singapore, and South Africa.

Typical time on-site: Flexible
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