Xero Logo

Xero

Senior/Applied Scientist - AI Products

Posted One Month Ago
Be an Early Applicant
Hybrid
Melbourne, Victoria, AUS
Senior level
Hybrid
Melbourne, Victoria, AUS
Senior level
Develop and deploy machine learning products and services by translating complex business problems into applied research programs. Build robust data pipelines and reusable code in Python or Scala, develop and evaluate applications involving NLP, computer vision, and LLMs, and monitor algorithms at scale. The role also involves managing research risks, collaborating cross-functionally, mentoring colleagues, communicating complex findings, and raising scientific and engineering standards.
The summary above was generated by AI

The role and its impact

This role is open at Applied Scientist or Senior Applied Scientist level, and we'll assess your experience and demonstrated capability through the process to find the right fit.

You'll turn tough, ambiguous problems into elegant, data-driven products and services, moving between experimental design, prototyping, evaluation and more rigorous implementation depending on what the problem calls for. Some days that means a simple heuristic, others a traditional ML model, and others the latest in LLMs, and part of the job is judging which is genuinely right for the problem in front of you.

Working closely with cross-functional peers and holding coding standards high, your work will help ideas move smoothly from theory into real-world deployment. You'll also help lift scientific capability across Xero, contributing to a culture of intellectual rigour, healthy scepticism and mutual respect, Going Further by making evidence-based thinking part of how Xero builds.

The team and how they connect

You'll join AI Products, a close-knit team of seven based in Melbourne, building intelligent services that make a real difference for small businesses. The team balances business priorities with research demands to solve tangible customer problems, and works together to match each one to the right approach rather than reaching for complexity by default.

The team is currently working on

  • Solving real business problems through experiment-based science, from framing the question through to rigorous implementation

  • Choosing the right approach for each problem, whether that's a heuristic, a traditional ML model, or an LLM-based solution

  • Writing testable, maintainable, reusable code in Python, building robust data pipelines alongside engineering peers

  • Applying techniques such as NLP and computer vision to genuine product challenges at Xero's scale

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're looking for, for this role

  • Scientific curiosity sits alongside solid software engineering fundamentals, so you can write code that's testable, maintainable and built to last.

  • Probability, linear algebra and calculus aren't just theory to you, they're tools you reach for when applying machine learning to real product problems.

  • You've genuinely applied techniques like NLP or computer vision to live product challenges, not just studied them.

  • Data wrangling and pipeline work are familiar ground, and you know what good evaluation, measurement and experimentation look like in practice.

  • Faced with a loosely defined business problem, you can shape it into a clear research direction, working closely with product, design and engineering partners along the way.

  • You hold yourself to high standards of integrity and ownership, and you pair confidence in your work with a healthy dose of scepticism about it.

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.

Xero Hawthorn West, Victoria, AUS Office

Xero Melbourne (HQ) Office

Xero’s head office in Australia is in the buzzing suburb of Hawthorn, a stone’s throw from the CBD. Here, a diverse mix of Xeros work in both global and regional teams.

Similar Jobs at Xero

Yesterday
Hybrid
Melbourne, Victoria, AUS
Entry level
Entry level
Cloud • Fintech • Information Technology • Machine Learning • Software
Develop and maintain Salesforce platform features using Apex, Lightning Web Components, SOQL, and declarative tools. Support connected sales tools, managed package upgrades, integrations, monitoring, SLOs, sandbox refreshes, and production deployments. Collaborate with cross-functional stakeholders, improve scalability and engineering practices, respond to incidents, investigate root causes, and contribute to quality assurance through TDD and trunk-based development. Mentor colleagues and communicate technical concepts clearly while balancing customer outcomes, delivery speed, and engineering quality.
Top Skills: ApexContinuous IntegrationGongLightning Web ComponentsOutreachPandadocPlatform EventsRest ApisSalesforceSalesforce CliSalesforce FlowsSOQLTest-Driven DevelopmentTrunk-Based Development
6 Days Ago
Hybrid
Melbourne, Victoria, AUS
Entry level
Entry level
Cloud • Fintech • Information Technology • Machine Learning • Software
Leads two database reliability engineering teams across Australia and New Zealand. Owns database infrastructure modernization, AI DBA platform delivery, migrations to Amazon RDS, and transition from SQL Server to Aurora Postgres. Coaches experienced engineers, manages large-scale technical transformations, improves incident response and database operations, and partners with product and technical teams to enable greater database ownership.
Top Skills: Ai Database Administrator PlatformsAmazon RdsAurora PostgresCloud-Managed Database ServicesMicrosoft Sql ServerNon-Relational DatabasesRelational Databases
6 Days Ago
Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software
Lead data and AI governance initiatives by evolving governance frameworks, creating practical guidance, delivering literacy programs, and partnering with technical, privacy, regulatory, risk, and business teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, explainability, bias mitigation, regulatory alignment, and translating policy into scalable technical and operational practices.
Top Skills: Ai GovernanceCcpaData ArchitectureData CataloguesData LineageData Quality PlatformsEu Ai ActGdprIso 27001Soc 2

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account