Research Scientist, Gemini Safety

Job Application for Research Scientist, Gemini Safety at DeepMind

Research Scientist, Gemini Safety Zurich, Switzerland

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

The Gemini Safety team is accountable for the safety and fairness behavior of GDM’s latest Gemini models. The role of the Research Scientist will be to apply and develop data and algorithmic cutting edge solutions to advance GDM’s latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

We’re looking for a versatile Research Scientist, at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas.

Our team focuses on advancing the safety and fairness behaviour of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.

Key responsibilities:

Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities

Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.

Improve Gemini’s adversarial robustness, with a focus on high-stakes abuse risks.

Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.

Develop and execute experimental plans to address known gaps, or construct entirely new capabilities

Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

About you

In order to set you up for success as a Research Scientist in the Gemini Safety team, we look for the following skills and experience:

PhD in Computer Science, a related field, or equivalent practical experience.

Significant LLM post-training experience.

In addition, the following would be an advantage:

Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning

Experience with Long-range Reinforcement learning

Experience in areas such as Safety, Fairness and Alignment

Track record of publications at NeurIPS, ICLR, ICML

Experience taking research from concept to product

Experience with collaborating or leading an applied research project

Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.

Experience with JAX

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