Riot Games is looking to improve the player experience in their live games by leveraging data science and machine learning to inform decisions and develop data-powered products.
Requirements
- Experience delivering full-stack solutions from requirements gathering through live deployment, with hands-on ownership of design, coding, testing, and release
- Expertise in Python and SQL
- Expertise in machine learning frameworks such as tensorflow, torch, scikit-learn, or Spark MLlib
- Experience in the design, implementation, and analysis of online experiments
- Experience developing and deploying machine learning models at scale
- Effective at storytelling with data to a diverse and non-technical audience
Responsibilities
- Use machine learning to build products or inform decisions that directly improve the player or fan experience
- Own the ML and AI iteration loop including dataset creation, feature engineering, technical discovery and prototyping, model tuning, and model management
- Build ML and AI tools and products for game development, working with stakeholders and engineers to design and deploy dashboards, web apps, forecasts, and simulations
- Continually improve our data science practice by identifying novel applications of existing capabilities as well as brand new technical approaches to address critical game and business problems
- Develop relationships with game producers, designers, QA, product managers, and engineering to ensure ML-oriented game features can launch successfully
- Represent data products to non-technical partners and collaborators
Other
- Masters in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent professional experience
- 2+ years of experience with applied data products in gaming or entertainment
- Player empathy and care about players' experiences
- Collaborative spirit and decision-making that prioritizes the delight of players
