Sr Applied Scientist

2K is looking for a Sr. Applied Scientist to join the Applied AI Team in the Product Organization, with a focus on our flagship franchise NBA 2K. Our team leverages AI, machine learning, statistics, and operations research, and economics to build systems that power core game experiences. We develop algorithmic solutions in areas such as matchmaking, in-game experience personalization, player engagement, in-game economy, content optimization, and fraud detection.

* Design, develop, and iterate on machine learning models that directly impact in-game experiences and core systems (e.g., matchmaking, skill rating systems, recommender systems). * Build and refine representation learning models to capture player skill, lineup/build strength, and interaction patterns from sequential gameplay data. * Stay informed on state-of-the-art techniques, evaluate their applicability, and lead efforts to integrate promising methods into our systems. * Formulate ambiguous product problems into well-defined machine learning tasks. * Lead technical discussions, advocate for best practices in model development and deployment, and ensure scientific rigor. * Collaborate closely with engineers, MLEs, and product stakeholders to integrate models into production systems and influence game design decisions.

* Master’s or Ph.D. in a quantitative field (Mathematics, Statistics, Physics, Computer Science, Operations Research, Industrial Engineering, Electrical Engineering). * Proven experience in applied science, machine learning, or data science roles, including experience deploying ML models in production environments. * Proven experience with deep learning, representation learning, embedding models, or self-/semi-supervised learning. * Fluency in Python and SQL (or similar scripting languages). Experience with big data technologies such as Apache Spark. * Working knowledge of machine learning modeling/computation frameworks such as PyTorch or Tensorflow. * Demonstrated ability to work independently, rapidly prototype solutions, and test new ideas. * Strong communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.