Senior Applied Scientist

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About the role

  • Senior Applied Scientist researching and implementing Generative AI solutions at Xero. Collaborating with teams across North America to enhance customer interactions through AI.

Responsibilities

  • Researching and implementing Generative AI solutions using the latest LLM APIs.
  • Developing hybrid machine learning approaches merging Generative AI with classical techniques for better accuracy.
  • Designing and deploying scalable machine learning systems to solve real-world product problems.
  • Building data pipelines and wrangling complex datasets to support AI-driven features.

Requirements

  • Solid foundation in machine learning theory, including probability, linear algebra, and calculus.
  • Background in applying machine learning techniques like NLP or computer vision to practical product challenges.
  • Strong software engineering fundamentals and ability to write maintainable, testable code in Python or Scala.
  • Ability to translate complex business problems into clear machine learning formulations.
  • Enjoyment in collaborating across functions and explaining technical concepts to teammates with different backgrounds.
  • Thriving in ambiguous environments, helping to turn loosely defined ideas into actionable research directions.

Benefits

  • Flexible working arrangements
  • Collaboration across functions
  • Professional development opportunities

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

PythonScala

Location requirements

RemoteCanada

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