Staff Applied Scientist

About This Role

As a Staff Applied Scientist, you will research and implement Generative AI solutions to simplify the Xero customer experience across the accounting domain. This role involves evaluating and improving Generative AI reasoning, combining LLMs with classical methods, and translating business problems into machine learning formulations to define the next generation of intelligent accounting software.

Responsibilities

• Research and implement Generative AI solutions that simplify the Xero customer experience across the full accounting domain
• Continuously evaluate the reasoning and accuracy of General AI, improving results through hybrid approaches that combine cutting-edge LLMs with classical methods
• Translate business and customer problems into tangible machine learning formulations
• Build and refine Generative AI solutions using SOTA LLM APIs and scientific literature
• Develop hybrid ML models that integrate modern reasoning with classical processing techniques
• Design and deploy scalable machine learning systems that address real-world product challenges
• Lead applied research programs from initial problem definition through to production impact

Requirements

• Deep understanding of machine learning foundations, including probability, linear algebra, and calculus
• Hands-on experience with state-of-the-art LLMs
• Track record of deploying ML systems at scale
• Strong software engineering skills, particularly in Python
• Focus on writing maintainable and testable code
• Excellent communication skills to translate complex technical concepts for stakeholders
• Ability to operate within ambiguity, refining loose business problems into actionable research directions
• Customer-focused mindset to link research to ethical and positive real-world outcomes

Skills

* Required skills