Game AI Algorithm Researcher

UK-London

Tencent

腾讯于1998年11月成立,是一家互联网公司,通过技术丰富互联网用户的生活,助力企业数字化升级。我们的使命是“用户为本 科技向善”。Founded in 1998, Tencent is an Internet-based platform company using technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission...

View all jobs at Tencent

Apply now Apply later

Responsibilities:LightSpeed Studios is one of the world’s most innovative and successful game developers. With team across China, United States, Singapore, Canada, United Kingdom, France, Japan, South Korea, New Zealand, and United Arab Emirates. We are expanding to more countries.

Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users. It is the co-developer of worldwide hits
PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version).

Job Responsibilities:

● Develop efficient and reliable game AI solutions based on actual business requirements, explore the application and implementation of deep learning/reinforcement learning technology in game AI, including:

○ Multi-Agent Reinforcement learning: train reinforcement AI agents in competitive or cooperative games, design new algorithms to improve the efficiency and effectiveness of multi-agent learning;

○ Imitation Learning: train imitation learning AI agents with different styles using human gameplay data;

○ GAIL: train reinforcement learning AI agents in games with limited human gameplay data as support, design algorithms to improve strength and humanization of the agent.

● Follow the latest research publication in academia or industry and have an efficient implementation.

● Communicate with other groups within our organization, explore pioneer game AI design techniques and generation approaches to improve end players' game experience.

Requirements:

Qualifications:

● PhD degree in computer science, operations research, mathematics, or related fields.

● Distinguished work (including but not limited to published papers, industrial projects, etc.) in related fields, and experience in both game AI and reinforcement learning.

● Experience in the following deep reinforcement learning fields: Model-Free RL, Imitation Learning and Inverse Reinforcement Learning, Multi-Agent Learning, Exploration, Transfer and Multitask RL, Hierarchy RL.

● Proficient in at least one programming language, familiar with deep learning platforms such as TensorFlow, Caffe, PyTorch, etc.

● Excellent analytical and problem-solving skills, passionate about solving challenging problems.

● Positive stress tolerance ability; good understanding of business intentions.

Preferred:

● Experience with LLM based agents.

● Applicants with strong research ability and publications in top AI conferences (NIPS, IJCAI, AAAI, ICML, ICLR, etc.).

● Passionate about the gaming industry, experience in game AI.

● Excellent communication and collaboration skills.

#LI-RL1

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  0  0

Tags: Apex Caffe Computer Science Deep Learning ICLR ICML Industrial LLMs Mathematics PhD PyTorch Reinforcement Learning Research TensorFlow

Perks/benefits: Conferences

Region: Europe
Country: United Kingdom

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.