Machine Learning Scientist

Who We Are

Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, and HB Studios. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of our growing library of critically-acclaimed franchises such as NBA 2K, Battleborn, BioShock, Borderlands, The Darkness, Mafia, Sid Meier’s Civilization, WWE 2K, and XCOM.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We are dedicated to diversity and inclusion, and want our community of candidates to reflect this commitment. We encourage all qualified applicants to explore our global positions.

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO).

What We Need

We are looking for a hardworking and skilled machine learning scientist to join a rapidly growing team at the groundbreaking edge of creativity in the central Data & Analytics Organization. This team brings AI, machine learning, statistics, operations research, and economics to the design, operation, and optimization of our games. This covers the application of algorithmic solutions to areas such as matchmaking, in-game experience personalization, in-game economy, content, and fraud.

Who We Are Looking For

• You will have phenomenal technical breadth over machine learning and statistics or depth in one or more sub fields, experience with deployment and productizing machine learning models, track record of owning and delivering on end-to-end machine learning workflows.
• A solution oriented, 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 needed for this role.

What You Will Do

• Research, implement, and deploy machine learning algorithms to impact in-game experiences.
• Work closely with game development, LiveOps, tech, and data engineering teams to apply machine learning and AI solutions to problems in the captivating world of video gaming.
• Use quantitative models and optimization techniques to support decisions in game design, content release, and LiveOps.
• Collaborate with engineers on integrating machine learning solutions to the products.

What Skills Are Needed

• Master Degree in Mathematics, Statistics, Physics, Computer Science, Operations Research, Industrial Engineering, Electrical Engineering.
• 4 + years of proven ability in machine learning, data science, or applied scientist roles.
• Proficient in machine learning, either Traditional ML or Deep Learning, preferably both.
• Proficient in programming languages popular for data science such as Python, R, Scala. (at least one).
• Intimate proven understanding of machine learning modeling computation frameworks such as scikit-learn, PyTorch, Tensorflow, Spark ML.
• Proficient in relational database and SQL. Experience with Big Data technologies such as Apache Spark, NoSQL databases.
• Proven track record to work independently, rapidly prototyping and testing new insights.
• Excellent interpersonal skills to present, explain, and articulate technical works to technical colleagues as well as non-technical audience.
• Technically not a "skill", but, you are comfortable with working hours 10am-6:30pm enabling greater connection with our US HQ.

Bonus Points

• Experience with topics such as matchmaking, recommender systems, simulations, or reinforcement learning
• Experience with cloud services such as AWS. Knowledge in containerization, container orchestration, serverless, and model serving.
• Experience with the video gaming industry, or familiarity with video games.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.