Senior Engineer - ML Systems (AI Products)
Standard baseline compensation
Verified employer route
Sydney
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Job Description & Specifications
Official role breakdown, eligibility standards, and core responsibilities
Role Overview
Position: Senior Engineer - ML Systems (AI Products)
Employer: Xero
Work Arrangement: HYBRID
Visa Framework: Australian Subclass 482 (TSS) / Skills in Demand & 186 ENS Eligible
Company & Culture
Xero is an ANZ cloud-based accounting software platform for small businesses and their advisors with millions of subscribers globally.
Key Responsibilities & Scope
The role You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users. You'll own the architecture decisions that keep our systems flexible, cost-effective, and robust, direct strategy for distributed systems, and manage technical debt across the AI Products estate.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 - applying modern AI research, including Large Language Models, only once it can be engineered into reliable, production-grade systems.The team You will join the AI Products group, a diverse team of scientists, engineers, product managers, and analysts within our broader Data & Science division. As a Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and reliably transition models from research into production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.The team is currently working onDesigning and building highly scalable, distributed production infrastructure to support generative AI featuresHarnessing tools like Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workload.Deploying to production environments running o
Candidate Qualifications & Profile
- Proven experience operating within high-impact industry or enterprise environments.
- Relevant degree or recognized professional accreditation in Cloud Accounting & SaaS.
- Strong collaborative problem-solving skills and dedication to technical or operational excellence.
Compensation Guidance (AUD)
Salary Range: AUD $1,40,000 - $1,89,000 / year (commensurate with skills & experience).
- Includes standard Australian statutory superannuation (11.5%+), health & wellness allowances, and professional progression pathways.
Official Application Route
Direct Employer Career Portal: Apply directly at the official Xero careers portal: [Senior Engineer - ML Systems (AI Products) at Xero](https://jobs.ashbyhq.com/xero/45663119-ef1a-43a3-ba10-86a5a9837556)
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