About The Position

CD PROJEKT RED is looking for a Machine Learning Researcher - Narratologist to join its R&D Team, which explores potential new features for game development. The role focuses on computational narratology: developing techniques to understand and react to narrative text, rather than generate it. The position can be hybrid/in-office or fully remote.

Requirements

  • Sophisticated experimental NLP background in academic or industrial research.
  • At least 5 years of programming experience.
  • Fluency in Python and C++ (or Unreal C++).
  • Intellectual curiosity, ambition, open-mindedness, and proactivity.
  • Ability to translate high-level goals into a plan, drive the work forward, and be accountable for results.

Nice To Haves

  • Game development experience, especially in Unreal Engine.
  • Relevant publications in narratology.
  • Personal projects in machine learning.

Responsibilities

  • Architect and build machine learning systems for complex narrative analysis.
  • Quantitatively improve key NLP models by designing and/or integrating new models.
  • Leverage cloud infrastructure for training and serving.
  • Stay current with state-of-the-art developments in key topics.
  • Present results internally and potentially at external conferences.
  • Optimize machine learning systems for cost, latency, and quality.
  • Facilitate deployment of results in demos.

Benefits

  • Company-paid medical healthcare, including dental, vision, and mental health coverage.
  • Free mental health support, including access to counseling, psychiatric care, and well-being webinars.
  • Paid leave: 26 vacation days, 10 sick days, and 12 calendar holidays per year.
  • RRSP with employer matching.
  • Lifestyle Spending Account of $100 per month for eligible expenses including fitness, wellness, internet, home office equipment, learning, and streaming services.
  • Menstrual leave: one extra day off for employees who menstruate when experiencing period pain.
  • RED Parents Network support for working parents.
  • Flexible working hours.
  • Trainings, lectures, and courses, including internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes.
  • Welcome pack.
  • Dog-friendly office.
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