Machine Learning & Game Tech Architect

To create revolutionary, story-driven RPGs which go straight to the hearts of gamers — this is our mission.

• 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.

• 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.