Machine Learning & Game Tech Architect

CD PROJEKT RED

20h•Remote

About The Position

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our AI R&D team! In this role, you will be the key architect in integrating complex AI and game systems, enabling new experiences and serving as the bridge between machine learning and game developers.

Requirements

At least 7 years of experience in designing, implementing, and maintaining APIs (Application Programming Interfaces) and applications.
Knowledge of classical AI concepts, such as symbolic processing and production systems.
Knowledge of machine learning: ability to use major machine learning libraries and platforms such as TensorFlow, PyTorch, and Keras.
Solid skills in C, C++, Rust, GO, or other system programming languages.
Solid skills in Python.
Experience in introducing machine learning solutions into traditional computer systems: experience introducing machine learning systems into production, and a penchant for applied research.
Experience with high-performance computing and knowledge of best practices for code optimization.
Knowledge of game engines and real-time simulations.
Intellectually curious.
Humble and curious, constantly seeking opportunities to learn, not limited by the scope of their role or the company.
Autonomous: proactive and motivated.
Ability to set ambitious high-level goals, plan them, drive them, and report on results.

Nice To Haves

Knowledge of human behavior modeling and reinforcement learning is a strong asset.
Master's degree in computer science, mathematics, statistics, or other data-related disciplines, or an equivalent level of expertise through industry experience.
Ability to use Unreal Engine.

Responsibilities

Be responsible for the architecture of hybrid game and machine learning systems, acting as the primary point of contact for integrating machine learning into game systems.
Design, develop, and maintain learning and non-learning systems.
Stay informed about the latest developments in both machine learning and game technologies, identifying and exploring applications that would be beneficial to the company.
Assist programming and machine learning teams throughout the development phases.
Create and maintain quality guidelines for our machine learning applications.
Propagate machine learning knowledge throughout the organization.
Improve your team's function, whether through personal achievements or leadership.
Maintain rich, attentive, and frank communication with colleagues to ensure the best results.
Gather, validate, and respond to internal feedback, adjusting design and technology choices as needed.

Benefits

Medical care (dental, vision, and mental health) covered by the company.
Free medico-psychological support including access to psychological help, psychiatric care, and a variety of wellness webinars.
Paid time off: 26 vacation days, 10 sick days, and 12 holidays per year.
Group RRSP.
Lifestyle spending account (LSA): $100 per month to use for sports, well-being, internet, home office equipment, learning, streaming services, and more.
Menstrual leave: employees who menstruate can take an additional day off for painful periods.
RED Parents Network: support for working parents, including childcare benefits and family events.
Flexible working hours.
Training, seminars, and courses: internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning courses are available.
A welcome kit filled with goodies: to help you feel at home once you join the team.
Dogs are welcome: bring your dog to the studio, you can watch over them while you work!
A truly international work environment: you will have the opportunity to meet and work with diverse people from all over the world.
No dress code: we prefer a relaxed atmosphere.