Xero
Senior Engineer, ML Systems (AI Products)
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · AU: Sydney (45 Clarence St)
Employer listed it 2 weeks ago · Added yesterday
Been open since 2 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · AU: Sydney (45 Clarence St)
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around AU: Sydney (45 Clarence St), AU: Melbourne: (260 Burwood Rd), Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "AU: Sydney (45 Clarence St), AU: Melbourne: (260 Burwood Rd), Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
The role
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 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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Xero, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $145k to $210k per year · You'll be taken to the employer's careers page.