Responsibilities:

• Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving.

• Response for deep statistics analysis from large-scale data, mining for user behavior and attributes, building user portraits.

• By datamining and analysis, solving user pain point and proposing strategies improving user retention.

• Improving data analysis pipelines, combining business requirements and data, by using distributed computation platform, develop efficient and reliable data mining solutions.

• Research on recommendation algorithm or matching algorithm in gaming environments.

Requirements:

• Familiar with basic and latest research result in data mining, with a strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects.

• Familiar with machine learning, deep learning and recommendation algorithms such as clustering and classification, grasping and having deep understanding in at least one of them.

• Proficient in at least one programming language, familiar with basic data structures and algorithms.

• Higher priority for candidates familiar with graph models, including community discovery, graph embedding、influence diffusion models.

• Higher priority for candidates familiar with causal inference or optimization algotirhms, and have strong

• Higher priority for candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc.

• Higher priority for candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations. And candidates with better mathematics background are in favor.

• Strong self-driven ability, team cooperation ability, anti pressure ability and studious candidates is preferred.