Staff Machine Learning Engineer, Rewards Economy

Mistplay is a loyalty app for mobile gamers that enables users to discover games and earn rewards. The Staff Machine Learning Engineer will lead the design, implementation, and optimization of a machine learning-driven rewards economy, including real-time personalization, predictive modeling, and incentive strategies. The role will partner cross-functionally to balance user value, engagement, and sustainable business economics.

Responsibilities:

• You’ll be part of the cross functional group responsible for the overall rewarding and the loyalty economy strategy for Mistplay
• Create and implement machine learning driven rewards economy systems and core loops
• Continuously analyze and optimize the economy strategies and implementations to enhance engagement and drive business outcomes
• Drive the strategy on how machine learning and AI can further advance the optimization for better user experience and business performance
• Distill complex model outputs into actionable strategic insights for executive stakeholders, advocating for AI-first approaches to loyalty and retention
• Design and productionize contextual bandits and RL frameworks to personalize reward distribution in real-time, ensuring the right user gets the right incentive at the right moment
• Serve as the primary architect for Mistplay’s rewards economy, balancing complex variables to ensure a "win-win" scenario: maximum value for players and sustainable unit economics for the business
• Partner with Product, Analytics, Engineering, and Finance to translate high-level business goals into algorithmic constraints and incentive structures

Requirements:

• • A combination of 8+ years in Data Science, Machine Learning, Quant, Econometrics, and/or Master's or Ph.D. in Data Science, Machine Learning, or a related quantitative field
• • Understanding of reinforcement learning (DeepQ, contextual bandits)
• • Expertise in implementing machine learning models using Python and PyTorch, paired with strong data analysis skills using SQL and Python
• • Fast and agile approach to exploring and implementing solutions with a strategic focus on the core loop and economy design
• • Experience and background in Quant, Data Science, or related fields, with a foundational understanding of economy and core loop designs in gaming or similar contexts
• • A passion for innovative AI solutions, with demonstrated knowledge in real-time predictive modeling
• • Prior experience in the ad-tech or mobile gaming industry with a focus on the economics of player behavior and engagement strategies is a strong nice-to-have