Frontier AI Research Scientist, DeepMind

Role Overview

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Drive foundational post-training and advanced reasoning research across both large language models (LLMs) and diffusion architectures.
• Develop next-generation post-training techniques—specifically focusing on advancing self-distillation methods, scaling RLxF for complex agentic capabilities, and developing novel environment-in-the-loop RLxF recipes.
• Operate within our highly collaborative environment; bridge the gap between algorithmic innovation and deployment by partnering closely with GDM verticals to integrate your breakthroughs directly into products/services, including Thinking Strike, Veo/Omni, and Science.
• Take end-to-end ownership of your algorithms, ensuring your work continuously feeds GDM's production systems.
• Contribute to compiling internal research manuscripts and publishing research in venues (e.g., ICLR, ICML, NeurIPS, but subjected to GDM approvals).

Requirements & Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, a related technical field, or equivalent practical experience.
• 2 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
• 2 years of experience in Python and a related machine learning package (e.g., Keras, PyTorch and Hugging Face Transformers).
• 1 year of experience developing algorithms for intelligent agents, including areas such as planning, reinforcement learning, or multi-agent systems.
• Experience in artificial intelligence or machine learning.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
• Deep expertise in Large Language Model (LLM) post-training techniques, particularly Reinforcement Learning and Reward Modeling at scale.
• Track record of publications at NeurIPS, ICLR, ICML.

Application Instructions

Apply directly on Google Careers at Frontier AI Research Scientist, DeepMind↗.

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