Staff Data Scientist - Technology Research: Content

Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop robust research prototypes and inform data powered products. 

The Technology Research team performs applied research to accelerate the pace of building amazing player experiences at Riot Games.  As a Senior Software Engineer focused on content, you’ll contribute to a research team who is looking to improve the pace at which we generate content for future Riot titles. We work closely with these teams to understand their content pipelines, where the pain points exist, and how research can improve their quality of life.  To this end, your team will track the latest research in relevant areas, work closely with teams to prioritize the most promising research, build prototypes to highlight the value of the research, and in certain cases partner with game teams to create robust and efficient production versions of your prototypes. 

Responsibilities:

• Propose, implement, and evaluate new algorithms that expand our content generation capabilities (examples include: diffusion models, sketch to model, and dynamic ML driven animation).
• Work closely with game designers, engineers, and leadership to understand their needs and gather datasets, build prototypes, and look for innovative ways to leverage large language models for game development.
• Stay up to date on the latest academic advances & industry trends within your area of specialization.
• Inform and manage stakeholders on game teams

Required Qualifications: 

• Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent combination of education and experience
• 2+ years experience in deep learning or algorithmic foundations of optimization
• Proficiency in C, C++, or Python
• Expertise with Tensorflow or Pytorch
• Experience with computer vision and/or content focused models

Desired Qualifications:

• Kubernetes, Docker, Databricks, SQL, Redis
• Distributed computing systems design
• C++, Unreal Engine

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your 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:

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games.

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 our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and 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, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history (LAMC 189.00).