About Tencent

Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.

We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.

About IEG Global

Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.

Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.

Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.

Key Responsibilities

• Conduct research and development on multimodal processing algorithms and models, including but not limited to image and video understanding and generation, as well as alignment and integration of multimodal information with textual data.
• Design and optimize existing algorithms to improve performance and accuracy, ensuring a high-quality user experience.
• Conduct in-depth research on and stay up to date with cutting-edge technologies in mutlimodal learning, NLP, CV, and related fiels, and promptly apply new technologies to products.
• Explore and develop reinforcement learning algorithms and frameworks, including but not limited to policy optimization and reward modeling.

Requirements

• Bachelor's degree or above in Computer Science, Information Engineering, Pattern Recognition, Artificial Intelligence, or related fields.
• Proficient in fundamental algorithms and applications related to computer vision and image processing; familiar with at least one deep leaming framework such as Caffe, TensorFlow, or PyTorch.
• Strong engineering implementation skills; proficient in at least one programming language such as C++ or Python.