Research Scientist, Gemini Agent Safety Post Training, DeepMind

Job description

Minimum qualifications

PhD in Computer Science, a related field, or equivalent practical experience. 1 year experience with Generative AI, Large Language Models, natural language processing, or Agent-based systems.

Preferred qualifications

Experience in AI safety and model alignment. Experience developing AI agents, safety-critical systems, or Machine Learning Infrastructure. Expertise in reward modeling, Reinforcement Learning (RL) for LLMs, instruction tuning, and long-range RL. Ability to drive research concepts to product realization with a strong track record of engineering abilities and experimental work. Track record of publications at AI/ML venues (e.g., NeurIPS, ICLR, ICML, EMNLP, AAAI, UAI).

About the job The Gemini Safety team is accountable for the standards of GDM’s flagship releases. In this role, you will develop algorithmic solutions to advance user-facing architectures. The workstyle is changing, supported by a strong internal culture of mutual dedication and cooperation. You will bring LLM post-training expertise to ensure outputs are aligned and production-ready. This scope encompasses deep thinking and deep research capabilities, coordinating directly with the Gemini post-training organization and core Product Area counterparts.

You will be a builder and shipper who takes end-to-end ownership. You will formulate mitigation frameworks and evaluations while guiding the cross-functional alignment required to deploy across launch surfaces. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US

$174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google .