In this role, you will work at the intersection of LLMs, multimodal generation, and game/creative production, driving research that directly ships into products.
Responsibilities
- Conduct research and development on Large Language Models (LLMs) and multimodal models (text, image, 3D)
- Research and integrate image generation models (e.g., Diffusion, Transformers, NeRF / 3DGS) with LLMs
- Design AI systems for game development and creative production pipelines
- Design, implement, and operate LLM-based agent systems, including:
- Tool use, planning, memory, and multi-agent architectures
- Stabilization and optimization for real-world production environments
- Build evaluation frameworks and metrics for LLMs and agents
- Offline evaluation, online evaluation, and human-in-the-loop assessment
- Reproduce, extend, and apply ideas from recent research papers
- Collaborate closely with engineering and product teams to bring research into production
Requirements
- PhD (completed or in progress) in Computer Science, Machine Learning, or a related field
- Strong background in LLMs or generative models
- Solid implementation skills in Python and PyTorch (or equivalent frameworks)
- Experience or strong understanding of bringing research code to production-quality systems
- Ability to read papers, implement them, and translate research into real products
Nice to haves
While not specifically required, tell us if you have any of the following.
- Deep expertise in image generation and multimodal generative models
- Diffusion models, VAEs, Transformer-based architectures
- Strong interest in creative domains and games
- Game development, 3D content, IP creation, UGC platforms, creative tools
- Hands-on experience with LLM agents in production
- Designing, deploying, and iterating on agent systems in real environments
- Practical experience in evaluation and measurement
- Designing quantitative metrics for LLMs and agents
- A/B testing, logging, quality monitoring Experience with large-scale distributed training or inference optimization
- Open-source contributions or research publications (top-tier venues not required)
- Experience bridging the gap between research and production
- Ability to define ill-posed problems and drive them to solutions
- Strong product sense and user-centric thinking, especially for creators
- Familiarity with game engines (Unity, Unreal) or DCC tools (e.g., Blender)
- Experience working in startups or small, fast-moving teams
