At a Glance
- Tasks: Develop cutting-edge game AI solutions and explore deep learning technologies.
- Company: Join a leading interactive entertainment group shaping the future of gaming.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on pioneering game design techniques.
- Why this job: Make a real impact in the gaming industry with innovative AI technology.
- Qualifications: PhD in relevant fields and experience in game AI and reinforcement learning.
The predicted salary is between 60000 - 80000 £ per year.
Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.
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
- 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.
Game AI Algorithm Researcher employer: Tencent
At Interactive Entertainment Group (IEG), we pride ourselves on being an exceptional employer, fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI technologies in the vibrant gaming industry. Located in a hub of creativity and technology, we offer a unique environment where passionate individuals can thrive and contribute to shaping the future of interactive entertainment.
StudySmarter Expert Advice🤫
We think this is how you could land Game AI Algorithm Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and AI community on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to game AI and reinforcement learning. We love seeing practical applications of your knowledge, so make sure to highlight any published papers or successful projects.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in game AI. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who are eager to push the boundaries of interactive entertainment.
We think you need these skills to ace Game AI Algorithm Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in game AI and reinforcement learning. We want to see how your skills align with the job responsibilities, so don’t be shy about showcasing your relevant projects and publications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the gaming industry and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Research:If you've got published papers or notable projects, make sure to mention them! We’re keen on seeing your contributions to the field, especially in top AI conferences. This is your moment to impress us with your academic prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Tencent
✨Know Your AI Inside Out
Make sure you brush up on the latest advancements in game AI, especially in deep learning and reinforcement learning. Be ready to discuss your previous work, published papers, or projects that showcase your expertise in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your past roles. Think about challenges you've faced in multi-agent reinforcement learning or imitation learning and how you approached them.
✨Familiarise Yourself with the Company’s Games
Dive into the company’s interactive entertainment offerings. Understanding their games and eSports will help you tailor your responses and demonstrate your passion for the gaming industry during the interview.
✨Practice Clear Communication
Since collaboration is key in this role, practice explaining complex concepts in a simple way. Be prepared to discuss how you would communicate your ideas with other teams to enhance the overall gaming experience.
