Senior Research Engineer, Embodied Generalist Agent, Gaming

Highlights

• Build multimodal embodied agents for complex open-ended gaming worlds.
• Bridge long-horizon planning with real-time precise motor control.
• Benchmark general agent intelligence in unseen 3D environments.

Ideal candidate

Innovative research engineer passionate about embodied intelligence and gaming, motivated to solve hard long-horizon autonomy and generalization challenges with a collaborative team in Tokyo.

Requirements

• Bachelor's degree or equivalent practical experience
• 5 years of experience with software development in one or more programming languages
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
• Experience with ML frameworks such as JAX, TensorFlow, or PyTorch
• Master's degree or PhD in Computer Science or related technical field
• 1 year of experience in a technical leadership role
• Experience building agents for 3D virtual environments, simulators, or video games
• Strong track record in machine learning, data science, or AI in games, which can include publications in conferences (NeurIPS, ICLR, ICML, CVPR, etc.)
• Domain knowledge in game development, concepting, or community
• Solid understanding of LLM internals and knowledge of Deep Reinforcement Learning (RL), LLM Reasoning, imitation learning, memory-based architectures, VLM, or VLA models