External Job Posting

Xero • San Mateo, CA

5d • Remote

About The Position

As a Staff Applied Scientist, you will research and implement Generative AI solutions that simplify the Xero customer experience across our full accounting domain. You will have a direct impact on how our customers interact with our platform by shaping intuitive, AI-powered SaaS experiences that transform complex workflows into seamless tasks.
Your work involves continuously evaluating the reasoning and accuracy of General AI, improving results through hybrid approaches that combine cutting-edge LLMs with classical methods. By translating business and customer problems into tangible machine learning formulations, you will help define the next generation of intelligent accounting software.

Requirements

• You bring a deep understanding of machine learning foundations, including probability, linear algebra, and calculus.
• Your background includes hands-on experience with state-of-the-art LLMs and a track record of deploying ML systems at scale.
• You possess strong software engineering skills, particularly in Python, with a focus on writing maintainable and testable code.
• Excellent communication skills allow you to translate complex technical concepts for stakeholders with various backgrounds.
• You have a proven ability to operate within ambiguity, refining loose business problems into actionable research directions.
• A customer-focused mindset drives you to link your research to ethical and positive real-world outcomes.

Responsibilities

• Building and refining Generative AI solutions using SOTA LLM APIs and scientific literature.
• Developing hybrid ML models that integrate modern reasoning with classical processing techniques.
• Designing and deploying scalable machine learning systems that address real-world product challenges.
• Leading applied research programs from initial problem definition through to production impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed