Senior Research Engineer, Embodied Generalist Agent, Gaming, DeepMind
Google· DeepMind
Tokyo, JapanFull-timePosted 3w ago
About the role
Senior Research Engineer role focused on building multimodal embodied gaming agents, collaborating with researchers and engineers to develop agents capable of perceiving, reasoning, planning, and executing real-time actions in complex environments using multimodal LLMs, VLA models, and RL/ICL/SFT.
Responsibilities
- Develop and optimize agent architectures that seamlessly integrate multimodal perception, reasoning, and precise real-time execution.
- Build and scale training recipes utilizing supervised fine-tuning, reinforcement learning, imitation learning, or in-context learning.
- Design advanced systems that enable agents to reason over long horizons and effectively utilize memory to solve complex, extended tasks.
- Research and implement capabilities that allow agents to adapt to new environments and learn from experience at test time.
- Establish rigorous benchmarks within virtual environments to measure progress in general agent capabilities and embodied intelligence in unseen environments.
Qualifications
- 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.
Skills
Required:Software developmentML frameworks
Last updated Oct 23, 2026. Interested? Apply on the company site.
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