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Join us in revitalizing Japan's AI talent ecosystem and grow together in a world-class research environment
Open Positions
Current opportunities to join our research team
Computer Vision Internship
Join Shanda Tokyo AI Lab to explore cutting-edge rendering and video generation research. Develop generative models for visual content creation, including human motion, scene rendering, and diffusion-based video synthesis.
Main Responsibilities
- Research and develop neural rendering, video generation, and motion synthesis models
- Train and fine-tune diffusion models for 2D/3D motion and scene generation
- Design pipelines for generating synthetic training data (video, motion, multi-view images)
- Optimize inference speed and visual quality for real-time generation
- Collaborate with researchers and engineers on generative CV projects
Basic Requirements
- Master's or PhD student in Computer Vision, Computer Graphics, or related field
- Strong foundation in deep learning and generative models (Diffusion, GANs, Transformers)
- Proficient in PyTorch and familiar with 3D graphics libraries (PyTorch3D, Open3D, Blender APIs)
- Ability to independently implement and evaluate academic papers
- Strong communication skills in Chinese or English
Preferred Qualifications
- Publications in top-tier CV/Graphics conferences (CVPR, ICCV, NeurIPS, SIGGRAPH)
- Experience in training video or motion generation models
- Familiar with 3D motion datasets (Human3.6M, AMASS, Mixamo) or synthetic rendering pipelines
- Familiarity with GPU optimization and multi-GPU training setups
How to Apply
Send your resume to: hr_jp@shanda.com
Subject: 【Computer Vision Internship Application-Name-School-Direction】
Speech Internship
Join Shanda Tokyo AI Lab to participate in speech generation models and LLM reasoning research, contributing to next-generation generative AI systems.
Main Responsibilities
- Generative Speech-to-Speech model research and training
- LLM reasoning capability research and optimization
- Speech/text data generation and preprocessing
- Model fine-tuning based on SFT and RL
Basic Requirements
- Master's or PhD student in CS/AI
- Familiar with LLM theory and deep learning
- Proficient in PyTorch, DeepSpeed parallel training frameworks
- Chinese/English communication skills
Preferred Qualifications
- Publications in top NLP/Speech conferences
- Practical large model training/tuning experience
How to Apply
Send your resume to: hr_jp@shanda.com
Subject: 【Speech Internship Application-Name-School-Direction】
Agent Internship
Join our research team to build next-generation intelligent NPCs with personalized behavior and learning capabilities. Using reinforcement learning (RL), RLHF, and RLAIF techniques, you'll develop AI agents that continuously evolve through dialogue and self-exploration.
Main Responsibilities
- Apply reinforcement learning to interactive and behavior-based intelligent agents
- Develop multi-personality modeling and control mechanisms
- Implement fine-tuning using human or AI preferences (RLHF / RLAIF)
- Design multi-stage training workflows with self-reinforcement
- Optimize decision-making under multimodal inputs
Basic Requirements
- Research or development experience in reinforcement learning, language modeling, or dialogue systems
- Expertise in RLHF, RLAIF, PPO, SFT, multi-personality control, or reward modeling
- Proficiency in PyTorch or JAX with strong coding practices
- High self-motivation and ability to drive independent research projects
Preferred Qualifications
- Prior experience in generative AI or LLM development
- Publications in top-tier AI/ML conferences
- Experience with large-scale distributed training
How to Apply
Send your resume to: hr_jp@shanda.com
Subject: 【Agent Internship Application-Name-School-Direction】
Research Engineer
Build and optimize large-scale AI training systems, implementing theoretical breakthroughs in real-world applications and advancing AI capabilities.
Main Responsibilities
- Large-scale training data acquisition, RL environment construction, training efficiency optimization
- Comprehensive automated evaluation systems for next-gen models, advancing understanding of model capabilities
- Apply theoretical breakthroughs to real-world product challenges, advancing AI applications and impact
Basic Requirements
- Python, C/C++ programming in Linux, proficient in PyTorch
- Large-scale data preprocessing, generation, and augmentation capabilities
- Familiar with large model training, distributed training, model parallelism
- Excellent problem analysis skills, good collaboration and communication
Preferred Qualifications
- Familiar with CUDA/Triton/Cutlass high-performance operator frameworks
- Familiar with veRL/OpenRLHF/Ray RL distributed computing frameworks
- Familiar with browser/computer use/code sandbox large-scale RL environment construction
- Familiar with Megatron-Core/DeepSpeed distributed training frameworks, multi-node training optimization experience
- Excellent programming competition results (ACM/ICPC, NOI/IOI, etc.)
- Experience in famous large model open-source projects or competition awards
How to Apply
Send your resume to: hr_jp@shanda.com
Subject: 【Research Engineer Application-Name-School-Direction】
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