Research Scientist / Research Fellow (AI for Education & Game Intelligence)

Research Scientist / Research Fellow (AI for Education & Game Intelligence)

About Us

We are an AI-driven education technology company developing next-generation intelligent tutoring systems powered by Large Language Models (LLMs). Our research focuses on combining advanced AI techniques with educational applications, including personalized tutoring, reasoning assessment, learning analytics, and game-based intelligence.

We are seeking a highly motivated Ph.D.-level researcher to join our team and contribute to cutting-edge research at the intersection of Artificial Intelligence, Education, and Game Intelligence.

Responsibilities:

AI Research

• Conduct original research in Large Language Models (LLMs), AI for Education, and intelligent tutoring systems.
• Design and evaluate novel approaches for personalized learning, adaptive feedback, student modeling, and educational assessment.
• Investigate the application of reasoning-focused AI models in K-12 and higher education environments.

Game Intelligence Research

• Conduct research in board-game AI, including but not limited to Go, Chess, Gomoku, and other strategic games.
• Develop and evaluate AI agents using techniques such as reinforcement learning, search algorithms, self-play, and neural network architectures.
• Explore the use of game environments as platforms for reasoning, planning, and educational research.

Publication & Academic Collaboration

• Lead and contribute to academic publications in top-tier conferences and journals.
• Conduct literature reviews and identify emerging research directions.
• Collaborate with internal engineering teams to translate research findings into practical products.
• Present research results through papers, technical reports, and conference presentations.

Product Research Support

• Work closely with product and engineering teams to integrate research innovations into AI tutoring systems.
• Design experiments and evaluate learning outcomes using quantitative and qualitative methods.

Required Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Educational Technology, Computational Linguistics, or a related field.
• Strong publication record or demonstrated research experience.
• Deep understanding of modern machine learning and deep learning methods.
• Experience with one or more of the following:
  • Large Language Models (GPT, Gemini, Claude, Llama, DeepSeek, etc.)
  • Reinforcement Learning
  • Game AI
  • Educational Data Mining
  • Intelligent Tutoring Systems
  • Natural Language Processing
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, JAX, or similar frameworks.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Publications at venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, IJCAI, EDM, AIED, CHI, or related conferences.
• Experience with Go, Chess, or other board-game AI systems.
• Experience building or evaluating educational AI systems.
• Experience with reinforcement learning frameworks and large-scale model training.
• Familiarity with human-AI interaction and learning sciences.
• Experience supervising research assistants or graduate students.

What We Offer

• Opportunity to conduct impactful research in AI and Education.
• Provide opportunities for employee referrals to FAANG companies.
• Collaboration with a multidisciplinary team of researchers and engineers.
• Flexible work environment.
• Opportunities to publish and present research at leading academic venues.

Research Areas of Interest

• Large Language Models (LLMs)
• AI for Education
• Intelligent Tutoring Systems
• Educational Assessment
• Learning Analytics
• Reinforcement Learning
• Board-Game AI
• Reasoning and Planning
• Human-AI Interaction
• Computational Cognitive Modeling