Machine Learning & Game Tech Architect

Machine Learning & Game Tech Architect

CD Projekt Red

Warsaw, Poland

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you’ll be the key architect behind complex AI and game system integration, enabling novel experiences and serving as a bridge between machine learning and game developers.

Responsibilities

• 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.

Qualifications

• 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.