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CD PROJEKT SA

Machine Learning, Game Tech Architect

CD PROJEKT SA

Machine Learning & Game Tech Architect at CD PROJEKT RED responsible for AI and game system integration. Designing hybrid game and ML systems while collaborating with programming and ML teams.

Posted 4/24/2026full-time🇺🇸 United StatesSeniorLead💰 $186,900 - $257,000 per yearWebsite

Tech Stack

Tools & technologies
KerasPythonPyTorchRustTensorflowUnreal Engine

About the role

Key responsibilities & impact
  • Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems.
  • Design, develop and maintain learning and non-learning systems.
  • Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company.
  • Support programming and ML teams throughout development.
  • Establish and maintain quality guidelines for our ML applications.
  • Disseminate ML knowledge across the organization.
  • Improve the function of one’s team, either through individual achievement or through leadership.
  • Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results.
  • Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary.

Requirements

What you’ll need
  • A minimum of 7 years of experience designing, implementing, and maintaining API’s and applications.
  • Familiarity with classical AI concepts, such as symbolic processing and production systems.
  • Familiarity with Machine Learning: experience using leading ML libraries and platforms like TensorFlow, PyTorch and Keras.
  • Familiarity with modelling human behaviour and Reinforcement Learning is a strong plus.
  • Proficiency in C, C++, Rust, GO, or other system-level programming languages.
  • Proficiency in Python.
  • A track record of introducing ML solutions to traditional computer systems: experience in bringing ML systems into production, and inclination towards applied research.
  • History of working with high-performance computing and familiarity with the best practices in software optimization.
  • Familiarity with game engines and real-time simulations.
  • Intellectually curious.
  • Humble and curious, constantly seeking learning opportunities, not limiting oneself to the bounds of role or company.
  • Autonomous: Proactive and self-driven. Capable of taking ambitious high-level goals, making a plan, driving it, and being accountable to the results.
  • Nice to haves: Master's degree in the fields of Computer Science, Mathematics, Statistics or other data-rich domains, or have an equivalent level of expertise from industry experience.
  • Unreal Engine experience.
  • Residence in the Eastern Time Zone (North America) preferred.

Benefits

Comp & perks
  • Company-paid medical healthcare (dental, vision, and mental).
  • Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars.
  • Paid leave — 26 days of vacation, 10 sick days, & 12 calendar holidays per year.
  • 401K with employer matching.
  • Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more.
  • Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain.
  • RED Parents Network — support for working parents, including childcare benefits, and family-friendly events.
  • Flexible working hours.
  • Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available.
  • A welcome pack filled with goodies — to help you feel right at home once you join the team.
  • Dog-friendly office — bring your pooch with you and look after them while working!

ATS Keywords

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Hard Skills & Tools
API designMachine LearningTensorFlowPyTorchKerasCC++RustGOPython
Soft Skills
leadershipcommunicationintellectual curiosityhumilityproactivityself-drivenadaptabilityteam improvementfeedback responsivenessaccountability
Certifications
Master's degree in Computer ScienceMaster's degree in MathematicsMaster's degree in Statistics