Machine Learning Intern

## Responsibilities: - Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics. - Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value. - Deliver actionable business insights to internal and external stakeholders. - Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale. - Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications. - Engage in technical knowledge sharing, documentation, and cross-team collaboration. ## Who We Look For - Pursuing a M.S., or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc. - Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.). - Experience with building complex data products and machine learning systems on large datasets preferred. Hands on experience on fraud detection is a plus - Proficient in Python and SQL.Solid understanding of modern AI/LLM and hands-on experience applying them to real-world problems is a plus - Excellent communication, collaboration, execution capabilities, and keen business acumen. - Passionate about games and the gaming industry. Gaming experiences in FPS/TPS is a plus.