Principal Data Scientist

Established in 2020, the Singapore Studio is Riot’s second international game development studio. Our mission is to “scale Riot’s games to hyper-serve players.” Riot has been expanding our footprint in Asia and accelerating our talent growth to develop games that deliver great experiences to our players.

We partner with our LA headquarters on game development for League of Legends, Teamfight Tactics, VALORANT, and 2XKO. The Singapore Studio is seeking talented, passionate Rioters with backgrounds in all areas of game development to build games that make it better to be a player.

We’re focused on working together to promote individual autonomy, ownership, collaboration, and inclusivity, so every Rioter can be their best while we boldly pursue games.

That's where you come in.

At the Riot Singapore Efficiency team, we're driven by innovation and optimization. Our team harnesses the power of Machine Learning approaches and Artificial Intelligence to reimagine the way we build games. By leveraging cutting-edge technology, we aim to streamline development processes, enhance creative workflows, which finally deliver immersive experiences to players around the globe. Join us in pushing the boundaries of what's possible in game development and shaping the future of interactive entertainment.

We are seeking a talented and experienced Principal Data Scientist to join our AI team. As a Data Scientist, you will play a key role in leveraging Machine Learning techniques to drive innovation and efficiency in our game development processes. You will collaborate closely with game teams to accelerate artists' pipelines, streamline workflows, and introduce novel tools aimed at enhancing player experiences.

Responsibilities: 

• Lead the development and implementation of Machine Learning models focused on accelerating creative pipeline optimizations, including content creation, iteration, and integration processes.
• Collaborate with game designers, engineers, and artists to identify opportunities for applying Machine Learning techniques to streamline creative workflows, improve asset generation, and enhance overall efficiency in game development.
• Design and conduct experiments to validate models, measure their impact on creative pipeline optimizations, and drive continuous improvement.
• Stay abreast of the latest advancements in Machine Learning, and gaming technology, and proactively explore innovative approaches to enhancing creative pipeline efficiencies.

Required Qualifications:

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
• At least 5 years of extensive experience in applying Data Science techniques to real-world problems, with a proven track record of delivering impactful data science solutions in a fast-paced environment.
• Proficiency in programming languages such as Python, R, C, C++, C#, and experience with libraries and frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of statistical analysis, experimental design, and data visualization techniques.
• Experience working with Generative Models, such as Score-based Diffusion Models, Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to drive creative pipeline optimizations.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience working in the gaming industry or a related field is a plus.
• Leadership experience, including mentoring junior team members, interns and driving cross-functional collaboration, is highly desirable.