Tech Stack

Description

You will research, build, and deploy machine learning and optimization models to enhance gameplay and player engagement in NBA 2K, collaborating with engineers, designers, and product managers to deliver production-grade AI systems that shape the player experience.

Requirements

• Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, Applied Math, Physics, Operations Research, or a related discipline.
• 4+ years of experience in applied science, machine learning, or data science roles, including experience deploying ML models in production environments.
• Strong background in machine learning (traditional and/or deep learning), statistical modeling, and experimentation.
• Proficiency in Python and SQL; experience with distributed computing (e.g., Spark).
• Working knowledge of ML frameworks like scikit-learn, PyTorch, TensorFlow, and pipeline tools for model training and deployment.
• Demonstrated ability to own projects end-to-end and deliver measurable business value.
• Excellent communication skills, with the ability to explain complex ideas to both technical and non-technical audiences.

Responsibilities

• Research, build, and deploy advanced machine learning and optimization models to improve gameplay and player engagement.
• Work across areas like matchmaking, ranking systems, personalization, and in-game economy modeling.
• Collaborate with game development, LiveOps, tech and data engineers, and product managers to scope high-impact problems and deliver solutions.
• Lead technical discussions, advocate for best practices in model development and deployment, and ensure scientific rigor.
• Stay informed on state-of-the-art techniques, evaluate their applicability, and lead efforts to integrate promising methods into our systems.