Senior AI Algorithm Engineer

About the Role

We are looking for an experienced Senior AI AlgorithmEngineer to join our AI Research & Development team. In this role, you willdesign, develop, and optimize advanced AI algorithms for game AI applications,leveraging cutting-edge techniques in game theory, reinforcement learning, anddeep learning. You will work closely with cross-functional teams to buildscalable, high-performance AI systems for production environments.

Key Responsibilities

• Design, develop, and optimize game AI solutions based on advanced game-theoretic algorithms, including Monte Carlo Counterfactual Regret Minimization (MCCFR), Deep CFR, Neural Fictitious Self-Play (NFSP), and related approaches.
• Develop sequence modeling and prediction solutions using Transformer, LSTM, GRU, or similar deep learning architectures.
• Implement and optimize game-theoretic and reinforcement learning algorithms for large-scale state spaces, ensuring computational efficiency, scalability, convergence, and real-time performance.
• Research, evaluate, and apply emerging machine learning technologies to enhance AI agents and continuously improve existing AI systems.
• Optimize AI model performance through algorithm refinement, experimentation, and performance tuning.
• Collaborate with software engineers, product teams, and researchers to deploy AI solutions into production environments.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related quantitative discipline. A Master's degree or PhD will be an advantage.
• At least 3 years of relevant industry experience in machine learning, reinforcement learning, game AI, or related fields.
• Hands-on experience with sequence modeling techniques, including Transformer, LSTM, GRU, or similar neural network architectures, with practical project experience in NLP, time-series forecasting, or related applications.
• Strong knowledge of reinforcement learning algorithms such as PPO, DQN, and SAC, with practical experience or solid understanding of CFR-based algorithms, including MCCFR, Deep CFR, NFSP, or related methods.
• Proficient in C++ and Python programming.
• Experience working with large-scale datasets and data processing frameworks.
• Strong analytical thinking, problem-solving ability, and effective communication skills.
• Ability to work independently as well as collaboratively in a fast-paced environment.
• Ability to communicate effectively in English. Ability to communicate in Chinese (spoken and written) is required, as this role involves regular collaboration with Chinese-speaking engineering teams and reviewing technical documentation prepared in Chinese.

Preferred Qualifications

Candidates with one or more of the following will have anadvantage:

• Experience developing AI for strategic games or other complex decision-making environments.
• Experience applying game-theoretic algorithms in commercial products.
• Experience in recommendation systems, data mining, intelligent decision-making systems, or large language model (LLM) applications.
• Publications, patents, open-source contributions, or research experience in machine learning, reinforcement learning, game AI, or related fields.