Machine Learning Architect – Game Technology

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee the architecture of hybrid gaming and machine learning systems, serving as the main contact for integrating machine learning within game systems.

• Design, develop, and sustain both learning and non-learning systems.

• Remain informed about the latest advancements in machine learning and gaming technologies, identifying and exploring applicable solutions for the company.

• Provide support to programming and machine learning teams throughout various development stages.

• Develop and maintain quality guidelines for our machine learning applications.

• Share machine learning expertise across the organization.

• Enhance your team’s influence, whether through personal accomplishments or leadership roles.

• Foster open, thoughtful, and honest communication with colleagues to achieve optimal results.

• Collect, validate, and respond to internal feedback, modifying design and technology decisions as necessary.

⛳️ Requirements

• At least 7 years of experience in designing, implementing, and maintaining APIs and applications.

• Understanding of classical AI concepts, such as symbolic processing and production systems.

• Proficient in machine learning: experience with major ML libraries and platforms like TensorFlow, PyTorch, and Keras.

• Background in human behavior modeling and reinforcement learning is a significant advantage.

• Strong competencies in C, C++, Rust, Go, or other systems programming languages.

• Proficient in Python.

• Demonstrated success in integrating machine learning solutions into traditional computing systems: experience in deploying ML systems into production and an interest in applied research.

• Experience with high-performance computing and an understanding of code optimization best practices.

• Familiarity with game engines and real-time simulations.

• Possess intellectual curiosity.

• Humble and inquisitive, continuously seeking learning opportunities beyond their role or the company.

• Self-sufficient: proactive and motivated.

• Capable of setting ambitious high-level objectives, planning, driving execution, and being accountable for outcomes.

• Hold a master’s degree in computer science, mathematics, statistics, or a related data discipline, or have equivalent expertise through industry experience.

• Experience with Unreal Engine.

• Preferred geographic location in the North American Eastern Time zone.

🏝️ Benefits

• Company-sponsored medical benefits (dental, vision, and mental health).

• Complimentary mental health and medical assistance, including access to psychological support, psychiatric care, and various wellness webinars.

• Paid time off: 26 days of vacation, 10 sick days, and 12 public holidays annually.

• Group RRSP.

• Lifestyle Spending Account (LSA): $100 monthly for fitness, wellness, internet, home-office equipment, learning, streaming services, and more.

• Menstrual leave: employees who menstruate may 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: access to internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning courses.

• Welcome kit with goodies to help you settle in once you join the team.

• Dogs are welcome: bring your dog to the studio and keep an eye on them while you work.

• A truly international work environment: the opportunity to meet and collaborate with diverse individuals from around the globe.

• No dress code: we embrace a relaxed atmosphere.