Staff Applied AI/ML Scientist - Central Technology, Anti-Cheat

Anti-Cheat is Riot’s first defense against cheaters that don’t want to play fair. As a cross-discipline team of former cheaters, kernel developers, machine learning engineers, data analysts, and software engineers, they make products like Vanguard to detect and ban the bad guys across all of Riot’s competitive titles and platforms, staying vigilant to whatever shape they’ll take in response.

From beaming bots to scorching scripters, anti-cheat enables Riot’s game teams to take on competitive genres and design rewarding systems that would otherwise be too vulnerable to fraudsters and cheaters. As a Staff Applied AI/ML Scientist on Anti-Cheat

, you will lead modeling strategy across the team's portfolio of competitive integrity products.  This includes establishing architecture, setting standards, and ultimately building the weaponry that enables Riot to stay one step ahead of cheaters and botters.

The work will be high-complexity, with tangible antagonists seeking to iteratively understand the boundaries of any classifiers, almost as quick as they are deployed, and your work will directly serve players of the highest devotion by identifying these actors in all of their many environments, ensuring that the time it takes to earn rank in Riot’s competitive queues is time well-spent. You will report to the Senior Manager of Anti-Cheat Data and Analytics.