Sr Applied Scientist
Core
Design, develop, and iterate on machine learning models to power core game experiences including matchmaking, skill rating systems, recommender systems, and in-game economy for the NBA 2K franchise.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Algorithmic solutions for matchmaking, personalization, player engagement, and fraud detection within video games.
Domain
Video Games / Sports Analytics / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistics, deep learning, representation learning, Python, SQL, PyTorch, TensorFlow, Apache Spark
Preferred skills
Recommendation systems, ranking systems, sequence models (RNNs, Transformers), graph-based approaches, cloud services (AWS), containerization, sports analytics domain knowledge
Technologies
PyTorch, TensorFlow, Apache Spark, AWS
Responsibilities
Design and deploy ML models for matchmaking and skill rating; build representation learning models from gameplay data; formulate product problems into ML tasks; lead technical discussions on model best practices; collaborate with engineers to integrate models into production systems.
Seniority
Senior, hands-on IC
