Hiring: Applied Scientist - Player Behavior Modeling (Mandarin Required) Company: Bitus Labs Location: Irvine, CA Job Posted Time: 2026-09-10 12:31:21 Employment Type: Full-time / On-site Target Skills & Keywords : AWS, C++, Diffusion Models, LLM, Linear, MATLAB, Python, R, Regulatory Compliance, Reinforcement Learning About the job Experience: •3 years of industry experience as an Applied Scientist or ML Engineer. Required Skills: •Develop models of player behavior—engagement, monetization, retention, anomaly detection— and the systems that act on them. •Translate loosely-specified product questions into modeling problems and select appropriate methods across probabilistic and generative models, gradient boosting, reinforcement learning and bandits, and constrained optimization. •Game Mathematics Design & Optimization •Develop and refine core math models for slot machines and other games, meeting target RTP, hit frequency, and volatility goals. •Design and verify random mechanics, bonus rounds, free spins, and jackpots through combinatorial analysis and detailed probability calculations. •Balance player engagement, regulatory requirements, and long-term profitability through innovative mathematical solutions. •Interface directly with large, imbalanced, real-world datasets; diagnose data quality, distribution shift, and leakage, and design evaluation that reflects true model performance. •Perform large-scale simulations and data analyses (Python, MATLAB, R, or custom code) to forecast game performance, validate math models, and optimize retention. Qualifications: •PhD in Mathematics, Computer Science, Statistics, or a related quantitative field (new graduates welcome), OR an MS with 2–3 years of industry experience as an Applied Scientist or ML Engineer. •Strong expertise in combinatorics, probability theory, and statistics, with demonstrable skill in mathematical modeling for game design. •Strong data intuition: ability to identify distribution shift and leakage and to select metrics appropriate to the problem. •Solid software engineering fundamentals—version control, testing, reproducibility—and sound judgment on when a prototype must become production software. •Demonstrated ability to drive a modeling problem from formulation to a working solution independently. •Fluency in Chinese (Required) and the ability to communicate complex concepts to technical and non-technical audiences. •Must be able to work on-site in Irvine, CA 92618. •Operational familiarity with AWS and the end-to-end ML workflow, from modeling through deployment, monitoring, and inference constraints. •Depth in reinforcement learning and bandits, probabilistic/generative modeling, or constrained/convex optimization and linear programming. •Background in gaming, simulation, recommender systems, or fraud/anomaly detection. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!