Senior Machine Learning / ML Engineer

Posted 22 Days Ago
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Clarence City, Tasmania, AUS
Hybrid
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software
At Xero, we’re here to help you supercharge your business.
The Role
Lead design and implementation of AI research and production infrastructure. Mentor junior engineers, and collaborate to enhance data usability, solving complex technical challenges.
Summary Generated by Built In

The role / impact

You will lead the design and implementation of AI research and production infrastructure at scale, ensuring our systems remain flexible, cost-effective, and robust. By managing technical debt and directing strategies for distributed systems, your technical decisions will directly influence products that serve millions of daily users.

Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability, ensuring we solve complex technical challenges with the right methods.

The team / how they connect
You will join the AI Products group, a diverse, globally distributed team of scientists, engineers, product managers, and analysts within our broader Data & Science division. Machine Learning Engineers partner closely with Applied Scientists during the research phase to build interfaces and harnesses that safely transition models from research to production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.


The team is currently working on

  • Refactoring complex systems and designing highly scalable, distributed production infrastructure to support next-generation AI features

  • Harnessing tools like Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workloads

  • Developing production environments utilizing established AI frameworks, data orchestration tools like Airflow or Prefect, and managing cloud workloads via AWS EMR

  • Exploring and applying modern Large Language Model technologies to drive continuous product innovation

Where and how you can work

Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.


Here are some of the things we are looking for

  • You will bring excellent system design and coding proficiency in Python or alternative languages suited for web-scale AI applications

  • A deep understanding of distributed processing principles alongside strong SQL capabilities is essential for success

  • Your exceptional communication skills enable you to easily translate complex technical concepts for both business and technical audiences

  • Having a natural coaching mindset will allow you to successfully establish engineering standards and mentor junior machine learning colleagues

  • An eagerness to learn, master, and implement Large Language Model technologies into product features

  • Experience utilizing frameworks like MLFlow, TensorFlow, or PyTorch, combined with knowledge of data orchestration tools, will be highly valued

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

  • Technical decision making in AI infrastructure
  • System design and coding proficiency in Python
  • Deep understanding of distributed processing principles
  • Strong SQL capabilities
  • Exceptional communication skills
  • Coaching mindset for mentoring juniors
  • Eagerness to learn and implement Large Language Model technologies
  • Experience with MLFlow, TensorFlow, or PyTorch
  • Knowledge of data orchestration tools like Airflow or Prefect

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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Xero Teams

Xero Offices

Hybrid Workspace

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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