Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
About the role
- Machine Learning & Game Tech Architect at CD PROJEKT RED focused on AI and game technologies integration. Responsible for architecture and collaboration across programming and ML teams.
Responsibilities
- 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
Requirements
- 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
Benefits
- 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
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