Data Scientist Leader

4 dni temu

al Maja Kraków, Polska Grid Dynamics Poland Pełny etat

We are seeking a Data Scientist with expertise in machine learning and large language model evaluation to design and execute research on how humans assess LLM features.

The ideal candidate will have a strong background in statistical programming, human data collection, and research methodologies, as well as the ability to work autonomously on impactful research problems.

Key Responsibilities
  • Work with technical and non-technical stakeholders to design and conduct research on LLM evaluation methods.
  • Develop and implement human evaluation studies and automated benchmark testing for LLM performance.
  • Collect and analyze data from human participants (e.g., surveys, experiments), ensuring high data quality and validity.
  • Own and drive a research agenda, selecting impactful problems and autonomously executing projects.

Requirements

  • A strong understanding of machine learning principles, especially in the context of LLMs.
  • Knowledgeable about LLM evaluation techniques, such as human evaluation and automated benchmarks.
  • Able to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out projects.
  • Fluent in at least one statistical programming language, such as Python or R.
  • Demonstrated background in collecting data from human participants (e.g., surveys, experiments) with knowledge about data quality, data validity, etc.
  • Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
  • A PhD or advanced degree in computer science, machine learning, cognitive science, psychology, economics, or similar.

What We Offer

  • An opportunity to work on cutting-edge projects.
  • A chance to collaborate with a highly motivated and dedicated team.
  • A competitive salary.
  • A flexible schedule.
  • A benefits package that includes medical insurance and sports programs.
  • Corporate social events.
  • Professional development opportunities.
  • A well-equipped office.

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