Riotgames Machine Learning Engineering Intern at Riotgames working on data-powered products to improve player experience and competitive integrity. Gain exposure to full ML development cycle including data preparation, modeling, and evaluation.
Responsibilities
Collaborate with ML engineers, data scientists, software engineers, and product partners
Prepare, clean, and explore datasets for ML and data-powered applications
Implement feature engineering, modeling, and evaluation approaches
Build prototypes, analyses, visualizations, or internal tools
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 technical and non-technical collaborators
Qualification
Comfortable programming in PythonMinimum GPA of 2Experience with data visualizationExperience working with cloud platformsPortfolio
Required
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 fundamentals, statistics, and data structures and algorithms.
Experience working with data using tools such as Python libraries, SQL, or notebooks.
Minimum GPA of 2.5.
Preferred
Experience building or evaluating machine learning models through coursework, research, internships, or personal projects.
Familiarity with one or more machine learning frameworks or libraries, such as PyTorch, TensorFlow, scikit-learn, or Spark MLlib.
Familiarity with SQL and relational databases.
Experience with data visualization, experiment design, model evaluation, or statistical analysis.
Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment.
Experience working with cloud platforms, distributed data systems, or model deployment tools.
Portfolio, website, GitHub, research publication, or other collection of original work.
Experience working on a video game or related project, particularly in Unity or Unreal Engine.
