Machine Learning Architect – Game Technology
Location
Canada
Posted
58 days ago
Salary
$180.1K - $247.6K / year
Seniority
Lead
Job Description
Machine Learning Architect – Game Technology
CD PROJEKT SA
• Be responsible for the architecture of hybrid game and machine learning systems, acting as the primary point of contact for integrating machine learning into game systems. • Design, develop, and maintain both learning and non-learning systems. • Stay up to date with the latest developments in both machine learning and game technologies, identifying and exploring applications that would be useful to the company. • Support programming and machine learning teams throughout development phases. • Create and keep up-to-date quality guidelines for our machine learning applications. • Disseminate machine learning knowledge across the organization. • Improve your team’s impact, whether through personal achievements or leadership. • Maintain rich, thoughtful, and candid communication with colleagues to ensure the best results. • Gather, validate, and act on internal feedback, adjusting design and technology choices as needed.
Job Requirements
- Minimum 7 years of experience designing, implementing, and maintaining APIs and applications.
- Familiarity with classical AI concepts, such as symbolic processing and production systems.
- Knowledge of machine learning: experience using major ML libraries and platforms such as TensorFlow, PyTorch, and Keras.
- Experience in human behavior modeling and reinforcement learning is a strong asset.
- Strong skills in C, C++, Rust, Go, or other systems programming languages.
- Strong skills in Python.
- Proven track record of introducing machine learning solutions into traditional computing systems: experience deploying ML systems to production and a taste for applied research.
- Experience with high-performance computing and knowledge of code optimization best practices.
- Familiarity with game engines and real-time simulations.
- Intellectually curious.
- Humble and curious, constantly seeking learning opportunities and not limited to the scope of their role or the company.
- Autonomous: proactive and self-motivated.
- Able to set ambitious high-level goals, plan them, drive execution, and be accountable for results.
- Hold a master’s degree in computer science, mathematics, statistics, or another data-related discipline, or possess equivalent expertise through industry experience.
- Experience using Unreal Engine.
- Geographic location in the North American Eastern Time zone is preferred.
Benefits
- Company-covered medical benefits (dental, vision, and mental health).
- Free mental health and medical support, including access to psychological help, psychiatric care, and a variety of wellness webinars.
- Paid time off: 26 days of vacation, 10 sick days, and 12 public holidays per year.
- Group RRSP.
- Lifestyle Spending Account (LSA): $100 per month to use 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: internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning courses are available.
- Welcome kit filled with goodies to help you feel at home 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: you’ll have the opportunity to meet and work with diverse people from around the world.
- No dress code: we prefer a relaxed atmosphere.
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