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Senior Machine Learning Scientist

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๐Ÿ‡ฎ๐Ÿ‡ช Dublin

2K Games Dublin is a hub focused on performance marketing, commercial strategy, data engineering and data science/analytics and is part of the 2K Games group of companies. 2K develops and publishes interactive entertainment globally for console systems, handheld gaming devices and personal computers, including smartphones and tablets. 2K is a leading publisher of todayโ€™s most popular gaming genres and most well-known for critically acclaimed game franchises like NBA 2K, WWE 2K, BioShock, Borderlands, Evolve, XCOM and the beloved Sid Meierโ€™s Civilization.

Who Are The Team:

2K is looking for a passionate and skillful machine learning scientist to join a rapidly growing team at the cutting edge of innovation in the central Data & Analytics Organization. This team brings AI, machine learning, statistics, operations research, and economics to the design, operation, and optimization of 2Kโ€™s games. This covers the application of algorithmic solutions to areas such as matchmaking, in-game experience personalization, in-game economy, content, and fraud.

What We Are Looking For:

  • The ideal candidate will have great 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.
  • Being a solution oriented, creative problem solver; a self-starter with the passion and enthusiasm to drive results for meaningful change, meet deadlines, and build whatever is necessary along the way is critical 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 fascinating 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 experience 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 working knowledge 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.
  • Demonstrated ability to work independently, rapidly prototyping and testing new ideas.
  • Excellent communication 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.

What Skills Are Nice To Have:

  • 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 in the video gaming industry, or familiarity with video games.
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