Get roles like this, scored and matched, in your inbox.
Sign up free →Job Opening
Staff Machine Learning Engineer, 3D - Singapore Efficiency Team
Riot Games · Singapore · Posted 98 days ago
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience.
We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints.
That's where you come in.
Riot’s Singapore Efficiency team builds the technology that lets our creative teams do their best work. In 3D, the path from a modeler’s idea to a game-ready asset is full of slow, technical steps such as cleanup, retopology, UVs, and LODs, and that is exactly where we focus our effort. You will be reporting to the Senior Manager, Machine Learning Engineer.
As a Staff Machine Learning Engineer, 3D, you’ll build tools that compress the tedious, technical parts of the 3D pipeline so modelers and environment artists can stay in the creative loop and produce great 3D work faster.
Responsibilities:
…
This posting is sourced from Riot Games's own career site — applying takes you there directly.
Get roles like this, scored and matched, in your inbox.
Sign up free →Related roles
This role is one of 567 Machine Learning Engineer openings and centers on Machine Learning, 3d ML, Pytorch, and Python. There are 160 open roles at Riot Games right now.
Want roles like this found for you?
Set your Focus once. Career Engine screens every new opening every week.
A scored, explained shortlist — not a keyword match — delivered weekly. Free for one profile.