Senior Engineer, ML Systems (AI Products)
Lead design and implementation of AI research and production infrastructure at scale
You will lead the design and implementation of AI research and production infrastructure at scale, ensuring systems remain flexible, cost-effective, and robust. This includes managing technical debt, directing strategies for distributed systems, and mentoring junior engineers to lift the technical capability of the AI Products team. Your work will directly influence products serving millions of daily users by enabling safe transition of models...
Why This Role?
Direct impact on products serving millions of daily users through scalable AI infrastructure
Key Responsibilities
- Lead design and implementation of AI research and production infrastructure at scale
- Manage technical debt and direct strategies for distributed systems
- Mentor junior engineers and champion engineering excellence across the AI Products team
- Collaborate across Xero to enhance data usability and solve complex technical challenges
- Refactor complex systems and design scalable, distributed production infrastructure for next-generation AI features
- Develop production environments using AI frameworks, data orchestration tools like Airflow or Prefect, and manage cloud workloads via AWS EM
Requirements
- Excellent system design and coding proficiency in Python or alternative languages suited for web-scale AI applications
- Deep understanding of distributed processing principles
- Strong SQL capabilities
- Exceptional communication skills to translate complex technical concepts for business and technical audiences
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
Keywords
View Original Description from Ashby Job Boards
Original description from Ashby Job Boards
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 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.
Salary Context
Similar Engineering roles on LokerDollar pay around $198.5k/yr (range $38.623k–395k/yr, n=277 active listings).
Hiring at Xero
Xero has 18 other active roles on LokerDollar and has been hiring here since May 14, 2026 — across Engineering, Marketing, Operations.
- Head of Product - Cloud Engineering
- Senior TX Specialist (Talent Acquisition) - 12 Month FTC
- Staff Machine Learning Engineer
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Frequently asked questions
- Is Senior Engineer, ML Systems (AI Products) at Xero a remote job?
- This role is based in Remote. See the listing for remote/onsite details.
- What type of employment is Senior Engineer, ML Systems (AI Products) at Xero?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Xero.
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