Machine Learning Engineering Intern (Masters/PhD) - Summer 2027
Riot Games · Los Angeles, USA
About this role
**Machine Learning Engineering Intern (Masters/PhD) — Summer 2027** Riot’s Machine Learning Engineers combine expertise in data processing, automation, machine learning, AI, and experimentation to build data-powered products that improve the player experience, protect competitive integrity, and support fair play. As a **Machine Learning Engineering Intern**, you’ll work with experienced engineers, data scientists, and game/product partners to explore how data and machine learning can support Riot’s games—from shaping engaging player experiences to safeguarding competitive play. You’ll gain exposure to the full ML development cycle, including dataset preparation, feature engineering, model prototyping, evaluation, and communicating results. --- ### Potential Responsibilities - Collaborate with ML engineers, data scientists, software engineers, and product partners on player- or developer-focused projects - Prepare, clean, and explore datasets for ML and data-powered applications - Implement feature engineering, modeling, and evaluation approaches under guidance - Build prototypes, analyses, visualizations, or internal tools to understand player experiences, product systems, or adversarial behavior - Apply testing, documentation, and reproducibility practices - Participate in code reviews, technical discussions, team rituals, and project planning - Communicate technical findings and tradeoffs to technical and non-technical collaborators --- ### Required Qualifications - Graduating in **2028** calendar year with an **MS or PhD** - Currently enrolled in a **Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or related quantitative** program - Available to work **full-time** for the **12-week** internship duration - Comfortable programming in **Python** - Understanding of ML fundamentals, statistics, and data structures/algorithms - Experience working with data using tools such as **Python libraries, SQL, or notebooks** - **Minimum GPA: 2.5** --- ### Desired Qualifications - Experience building/evaluating ML models via coursework, research, internships, or personal projects - Familiarity with ML frameworks/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 (e.g., **Git, unit testing, functional testing, CI/CD**) - Experience with **cloud platforms**, distributed data systems, or model deployment tools - Portfolio/website/GitHub/research publications or other original work - Experience working on a video game or related project (especially **Unity or Unreal Engine**) - Interest in applying ML to enhance player experiences or support competitive integrity (e.g., cheat detection) --- ### Work Authorization - Candidates must be **legally authorized to work in the United States** for the duration of the program - **No visa sponsorship** for this position or internship conversions --- ### Applications - **Applications close: January 4th, 2027** --- ### Our Perks - Paid internship; interns can participate in **401(k)** - In-game perks and ability to participate in the **Play Fund** - Intern-focused events with other interns and Rioters --- ### (Remote Only) - Hourly rate: **USD $80.77**
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