Overview
This role is open for an Applied Scientist or Senior Applied Scientist level, focusing on refining complex problems into data-driven products and services. The position requires applying scientific methods to lead applied research programs that underpin new product features.
Key Responsibilities
- Refine tough problems into elegant data-driven products and services through scientific thinking and analytical data processing.
- Drive the rigorous application of scientific methods and lead applied research programs.
- Collaborate with a cross-functional team to ensure models translate seamlessly from theory to real-world deployment.
- Develop and evaluate machine learning applications across various domains, including NLP and computer vision.
- Write testable, maintainable, and reusable code in Python or Scala to build data pipelines.
- Map business problems to machine learning domains to deploy and monitor intelligent algorithms.
Requirements
- Expert-level hands-on skills in an applied science domain with a proven record of deploying research in real-world settings.
- Strong foundation in probability, linear algebra, calculus, and software engineering fundamentals.
- Exceptional communication skills for sharing complex findings with technical collaborators and stakeholders.
- Ability to mentor colleagues and grow technical capabilities within the team.
- Hands-on experience with Large Language Models (LLMs) and understanding of their limitations.
- Aptitude for navigating ambiguity, coordinating dependencies, and managing project risks.
Benefits
Xero offers a flexible hybrid working model with modern office spaces and collaborative working days to enhance team connectivity.
Location
Australia: Melbourne
How to Apply
Interested candidates are encouraged to apply even if their experience isn't a perfect match.