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About the role
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.
What they're looking for
- 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
More about this role
- Design, implement, and maintain high-quality protocols to identify safety gaps in model behavior across all Gemini and GenAI models, and feed these insights back into the post-training process to continuously improve both in-model and out-of-model protection.
- Explore, adapt, and apply innovative modeling and alignment techniques to solve real-world safety and alignment challenges under tight launch timelines.
- Drive innovation in model optimization, advancing the application of Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques at massive scale.
- Partner closely with post-training, evaluation, and product teams to align incentives, close safety gaps, and influence safety decisions without direct authority.
- 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.
- 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.
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