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Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good.

We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.

Level Infinite is a global gaming brand dedicated to delivering high-quality and engaging interactive entertainment experiences to a worldwide audience, wherever and however they choose to play. It operates from bases in Amsterdam and Singapore with staff around the world.

The role

We are hiring internships for the applied machine learning in UA&Marketing team.

  • Join our team to develop models for multi-variate time series prediction of UA marketing outcomes and fine-tune algorithms for accurate forecasting.
  • Design methodologies to measure KOL advertising campaign performance and analyze data, derive insights, and provide actionable recommendations.
  • Conduct exploratory data analysis, identify patterns and collaborate with cross-functional teams.
  • Stay updated on ML trends, propose innovations, and adapt to evolving challenges.


  • Currently enrolled in a Master's or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, etc.
  • Expertise in one or more of the following areas: machine learning & statistical learning, deep learning, reinforcement learning, NLP, computer vision, recommendation system, and any other data science related domains; Have rich practical experience.
  • Preferably, experience in the game industry, with a focus on User Acquisition (UA) and marketing.
  • Proficient in Python or other related programming languages.
  • Have a good team spirit and strong communication skills.