About the Role

The Applied Scientist, Gaming AI role involves developing state-of-the-art machine learning techniques to enhance gaming experiences. Responsibilities include designing AI models for player understanding and content generation, applying advanced ML techniques like reinforcement learning and computer vision, and collaborating with engineering teams to integrate models into production systems.

Key Responsibilities

• Designing and developing intelligent AI models for diverse gaming scenarios
• Applying advanced machine learning techniques including reinforcement learning and computer vision
• Building and maintaining scalable ML pipelines for training and inference
• Conducting A/B testing and causal inference analysis to evaluate AI impact
• Collaborating with product and engineering teams to integrate models into workflows

Required Skills & Qualifications

Must Have:

• Bachelor's Degree in Statistics, Computer Science, or related field with 2+ years experience OR Master's with 1+ year OR Doctorate
• 2+ years experience developing machine learning solutions
• 1+ year customer-facing, project-delivery, or consulting experience
• Proficiency in SQL and Python (or R) with data science libraries

Nice to Have:

• Proficiency in statically typed language (C#, Java, C, C++)
• Familiarity with software engineering principles
• Experience working with real-world noisy data
• Previous exposure to gaming industry

Benefits & Perks

• Industry leading healthcare