Melbourne
4 weeks ago
Senior / Staff Applied Scientist - AI Products logo

Senior / Staff Applied Scientist - AI Products

Xero

Senior / Staff Applied Scientist - AI Products

Xero is seeking a Senior or Staff Applied Scientist to join their AI Products team in Melbourne. The role involves refining complex problems into data-driven products, leading applied research programs, and collaborating with cross-functional teams. Candidates should have expert-level hands-on skills in applied science, strong foundations in mathematics and software engineering, and experience with LLMs.

Core AIHybridFull-timeSeniorPythonScala

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid: flexible hybrid working model, blending office collaboration with remote autonomy, with expectations around office days and collaborative 'boost days'

Employment Type

Full-time

Experience Level

Senior or Staff Applied Scientist level, with exceptional Applied Scientist candidates also considered

Core Qualifications

Technical (Must-have)
PythonScalaMachine LearningNLPComputer VisionLarge Language ModelsProbabilityLinear AlgebraCalculusSoftware EngineeringData PipelinesLLMs
Soft Skills
CommunicationCoachingMentoringCollaborationProblem SolvingCritical ThinkingAdaptability

Key Responsibilities

  • Refine tough problems into elegant data-driven products and services by applying scientific thinking, algorithms, and analytical data processing.
  • Drive the rigorous application of scientific methods, leading applied research programs that underpin new product features.
  • Champion high coding standards and collaborate closely with cross-functional peers to ensure models translate from theory to real-world deployment.
  • Lift the scientific competency across Xero, cultivating an environment of intellectual rigour, healthy skepticism, and mutual respect.
  • Break down large business problems into manageable applied research tasks and manage risks within evolving research programs.
  • Write testable, maintainable, and reusable code using Python or Scala to build robust data pipelines alongside engineering peers.
  • Develop and evaluate machine learning applications across domains such as NLP, computer vision, and Large Language Models.
  • Map business problems directly to machine learning domains to build, deploy, and monitor intelligent algorithms at scale.
Applied ScientistAI ProductsMachine LearningNLPComputer VisionLLMsPythonScalaHybridFull-time