Senior Research Engineer, Embodied Generalist Agent, Gaming, DeepMind

• 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.

Minimum 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.

Preferred qualifications:

• 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, (e.g., typical training pipelines, computational characteristics of training/inference, etc.), and knowledge of Deep Reinforcement Learning (RL), LLM Reasoning, imitation learning, memory-based architectures, Vision-Language-Model (VLM), or Vision-Language-Action (VLA) models.

• 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.