// Open Role at Riot Games
Join Riot Games as a Machine Learning Engineering Intern to apply data and AI expertise, enhancing player experiences and competitive integrity. You'll work on the full ML development cycle in a collaborative game studio environment, gaining exposure to real-world applications.
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.
For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you!
Applications close January 4th, 2027
Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Programs team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience.
Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner’s Code and Community Code. Our culture embraces differences as a strength, and we are committed to promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in gaming.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
(Remote Only) The hourly rate for this internship is USD $80.77
- 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. - Candidates must be legally authorized to work in the United States for the duration of the program.