Senior / Staff Applied Scientist - AI Products
Refine complex data problems into deployable machine learning products
Refine tough business problems into elegant data-driven products by applying scientific thinking and algorithms. Develop and evaluate machine learning applications across NLP, computer vision, and Large Language Models. Write testable, maintainable code in Python or Scala to build robust data pipelines and deploy intelligent algorithms at scale.
Why This Role?
Collaborate with engineers, designers, and product owners to deliver intelligent services for small businesses
Key Responsibilities
- Break down large business problems into manageable applied research tasks
- Develop and evaluate machine learning applications in NLP, computer vision, and LLMs
- Write testable, maintainable, and reusable code using Python or Scala
- Map business problems to machine learning domains to build and deploy intelligent algorithms
- Champion high coding standards while collaborating with cross-functional peers
- Lead applied research programs that underpin new product features
Requirements
- Expert-level hands-on skills in applied science
- Experience applying scientific thinking, algorithms, and analytical data processing
- Proficiency in Python or Scala for building data pipelines
- Background in machine learning applications across domains such as NLP or computer vision
- Ability to develop and evaluate models for real-world deployment
- Experience working in cross-functional teams to deliver product features
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Ashby Job Boards
Original description from Ashby Job Boards
The role This role is open at Senior or Staff Applied Scientist level, with exceptional Applied Scientist candidates also considered. We'll assess your experience, skills, and demonstrated capability during the process to confirm the right level. You will refine tough problems into elegant data-driven products and services by applying scientific thinking, algorithms, and analytical data processing. Immersion in complex, messy data will allow you to drive the rigorous application of scientific methods, leading applied research programs that underpin new product features. By championing high coding standards and collaborating closely with cross-functional peers, your work will ensure that our models translate seamlessly from theory to real-world deployment. You will play a vital role in lifting the scientific competency across Xero, cultivating an environment of intellectual rigour, healthy skepticism, and mutual respect. The team & how they connect You will join a collaborative, cross-functional team of engineers, designers, and product owners dedicated to delivering intelligent services that delight small businesses. Operating within a broader global science community, this group balances business objectives with research demands to solve tangible real-world customer problems. Together, the team maps customer needs to appropriate machine learning frameworks, ensuring we use simple methods where they work and complex ones where needed. The team is currently working on - Breaking down large business problems into manageable applied research tasks and managing risks within evolving research programs - Writing testable, maintainable, and reusable code using Python or Scala to build robust data pipelines alongside engineering peers - Developing and evaluating machine learning applications across domains such as NLP, computer vision, and Large Language Models - Mapping business problems directly to machine learning domains to build, deploy, and monitor intelligent algorithms at 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: - You will bring expert-level hands-on skills in an applied science domain, with a track record of taking research from theory to real-world deployment - A strong foundation in probability, linear algebra, calculus, and software engineering fundamentals is essential for success - Your exceptional written and verbal communication skills enable you to easily share complex findings with both technical collaborators and executive stakeholders - Having a natural coaching mindset will allow you to successfully mentor colleagues and grow technical capabilities across the team - Hands-on experience with LLMs, their surrounding harnesses, and a clear understanding of their current limitations - The ability to comfortably navigate ambiguity, coordinate dependencies, and manage project risks within a cross-functional environment 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 Data & Analytics roles on LokerDollar pay around $191.7k/yr (range $39.5k–404k/yr, n=124 active listings).
Hiring at Xero
Xero has 27 other active roles on LokerDollar and has been hiring here since May 14, 2026 — across Data & Analytics, Sales & Business Development, Engineering.
View all Xero openings →Openness not stated by employer — check the listing
Frequently asked questions
- Is Senior / Staff Applied Scientist - 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 / Staff Applied Scientist - AI Products at Xero?
- This is a part 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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