CD PROJEKT RED
Tech / AI / Software
MachineLearning&GameTechArchitect
“Machine Learning & Game Tech Architect at CD PROJEKT RED. Skills: Machine Learning, Game Tech Architecture, AI System Integration. Architecture of hybrid game and ML systems. Integrating machine learning into game systems”
What You'll Achieve.
serving as the primary contact for integrating machine learning into game systems; serving as a bridge between machine learning and game developers; ensuring the very best results
Industry & Context.
What They're Looking For.
Must Have
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., 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 Have
Familiarity with modelling human behaviour and Reinforcement Learning is a plus., 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.
What You'll Do.
Architecture of hybrid game and ML systems
Integrating machine learning into game systems
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
and respond to internal feedback
Adjusting design and technological choices as necessary
How You'll Work.
Team & Collaboration
Support programming and ML teams throughout development; Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results.; Gather, acknowledge, and respond to internal feedback
Communication Scope
Maintain rich, thoughtful, candid communication with peers
Process & Methodology
Making a plan, Driving it
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