riotgames · Los Angeles, USA
Skills: Python, SQL
Machine Learning Engineers at Riot combine expertise in data processing, automation, machine learning, artificial intelligence, and experimentation to develop data-powered products that improve the player experience, protect competitive integrity, and ensure fair play. As a Machine Learning Engineering Intern, you’ll work with experienced engineers, data scientists, and game or product partners to explore how data and machine learning can support Riot’s games, from shaping engaging player experiences to safeguarding fair and competitive play. You’ll gain exposure to the full ML development cycle, including preparing datasets, engineering features, prototyping models, evaluating results, and communicating findings. You’ll be supported by your team as you learn to build reliable, well-documented solutions. Potential Responsibilities: Collaborate with machine learning engineers, data scientists, software engineers, and product partners on player- or developer-focused projects. Prepare, clean, and explore datasets for machine learning and data-powered applications. Implement feature engineering, modeling, and evaluation approaches under the guidance of experienced team members. Build prototypes, analyses, visualizations, or internal tools that help teams understand player experiences, product systems, or adversarial behavior. Apply testing, documentation, and reproducibility practices to code and experiments. Participate in code reviews, technical discussions, team rituals, and project planning. Communicate technical findings and tradeoffs to both technical and non-technical collaborators. Required Qualifications: Graduating in the 2028 calendar year with an MS or PhD. Currently enrolled in a Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative degree program. Available to work full-time hours for the 12-week internship duration. Comfortable programming in Python. Understanding of machine learning fun…
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