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

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

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
RRSP 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
Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world
No dress-code — we like to keep it casual

Machine Learning – Game Tech Architect

Key skills