2K Games Dublin is a hub passionate about performance marketing, commercial strategy, data engineering and data science/analytics and is part of the 2K Games group of companies.
Founded in 2005, the 2K label includes some of the most hard-working game development studios in the world today including Firaxis Games, Visual Concepts, Hangar 13, 2K Czech, and Cat Daddy Games. Our world-class team of engineers, developers, graphic artists, and publishing professionals are stewards of a growing library of critically acclaimed franchises such as Battleborn, BioShock, Borderlands, The Darkness, Mafia, NBA 2K, Sid Meier’s Civilization, WWE 2K, and XCOM. 2K is headquartered in Novato, California, and is a wholly-owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).
2K is looking for an experienced and skillful Machine Learning Engineer to join a rapidly growing team at the groundbreaking edge of creativity in the central Data & Analytics Organization. We bring AI, machine learning, statistics, operations research, and economics to the design, operation, and optimization of 2K’s games. This covers the application of algorithmic solutions to areas such as matchmaking, in-game experience personalization, in-game economy, content, and fraud.
Our vision at 2K is to create a diverse and inclusion environment to Come As You Are and feel equipped to do your best work! We are dedicated to promoting diversity, multiculturalism, and equality in all that we do. Our communities are focused on increased access and personal growth, and their greatness depends on a diversity of race, gender, sexual orientation, religion, ethnicity, national origin, and perspective. We're an equal opportunity employer, and we're excited to build the future of co-living with the world's most hardworking and passionate people.
This person will have to be an excellent software engineer! On top of that, the ideal individual will have a track record of deploying and productizing machine learning models, especially experience with deployment as prediction services. You should also have exposure and understanding of the machine learning lifecycle, including different types and tasks of ML, algorithms, ML workflow, and common modeling/computing frameworks. We are looking for a meticulous, creative problem solver; a self-starter with the passion and enthusiasm to get results for meaningful change, meet deadlines, and build whatever is vital along the way is essential for this role! Capable and comfortable making architectural choices when working on sophisticated solutions consisting of multiple components.
This person is not expected to take prototype code and rewrite it for production but instead, build the platform to enable multiple data/ML scientists to deploy their code upon. They’ll work with our data engineering and DevOps departments to do so (not building a stack in a silo). They’ll also be encouraged to be a senior collaborator for data/ML scientists for coding standard methodologies and more sophisticated (e.g., real-time) algorithm development and deployment.
This job has been filled or removed by 2K.
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