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.

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.

Senior Applied Scientist

Key skills