Data Science Intern (PhD) - Central Technology

Los Angeles, USA

Applications have closed

Riot Games, Inc.

Riot Games. Developer of League of Legends, VALORANT, Teamfight Tactics, Legends of Runeterra, and Wild Rift. Creators of Arcane. Home of LOL and VALORANT Esports.

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Data Science Intern (PhD) - Central Technology

Riot's Data developers build tools to understand and delight our worldwide players using petabytes of data and state-of-the-art data processing technology. Handling the potential these data offer is a tremendous and complex task. As we continue delivering and scaling content to passionate gamers, our discipline has challenges and opportunities centered on crafting, building, and maintaining data products that support our growth. Whether you are a Data Scientist modeling game systems, a Data Engineer bringing scale and efficiency to systems, or a Data Architect organizing data in ways that make data products more player-focused and dependable, we need you to help push forward our “Player Experience First” goals.

As a Data Scientist Intern, you will work on a team that collaborates on multi-functional projects that range from in-game features to content design to infrastructure. In a world of high-volume and complexity, you will develop products that bring personalization, optimization, and scale to players. 

Responsibilities:

  • Work closely with game feature teams to optimize the way that we design and serve to players
  • Partner with game designers and engineers to design and implement data products
  • Explore the application of data science techniques to games in development and production

Required Qualifications:

  • Currently enrolled in an M.S. or Ph.D. program in statistics, engineering, computer science, artificial intelligence, or a related quantitative field (math, physics, etc.)
  • Available to work full-time hours for 10-12 weeks at our Los Angeles Headquarters during the summer
  • Authorized to work in the U.S.
  • Experience in statistical modeling and optimization 
  • Experience processing data and build machine learning models using Python
  • Experience with databases and SQL

Desired Qualifications:

  • Basic understanding of data warehousing, relational databases (e.g., MySQL), and distributed data processing or storage systems (e.g., Spark, Flink, Hadoop)
  • Experience in reinforcement learning and deep learning, including frameworks such as Tensorflow or PyTorch

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will certainly be looking at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you!

Our Perks:

Riot Internships are paid, and we offer relocation and housing support. Interns can also participate in our 401(k) plan. You can expect subsidized meals, 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 to make the most out of your experience.

Applications Close January 6th 12:00 pm PT

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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, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history (LAMC 189.00).

 

Tags: Computer Science Data Warehousing Deep Learning Engineering Flink Hadoop Machine Learning Mathematics ML models MySQL PhD Physics Python PyTorch RDBMS Spark SQL Statistical modeling Statistics TensorFlow

Perks/benefits: Career development Relocation support Team events

Region: North America
Country: United States
Job stats:  29  5  0

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