Research Scientist, Cybermonitoring

• Adversarially-robust reasoning, coding, and tool-use capabilities under prompt injection and jailbreak attacks.

• Adherence to privacy norms, whether or not under adversarial prompting.

• Adversarial techniques against generative models through multi-modal inputs.

• New model architectures that are secure-by-design against prompt injections.

• Detecting attacks in the wild and finding ways to mitigate them

• Identify unsolved, impactful privacy & security research problems, inspired by the needs of protecting frontier capabilities. Research novel solutions through related work studies, offline and online experiments, and building prototypes and demos.

• Verify the research ideas in the real world by driving and growing collaborations with Gemini teams working in safety, evaluations, and other related areas to land new innovations together.

• Amplify the impact by generalizing solutions into reusable libraries and frameworks for protecting Gemini and product models across Google, and by sharing knowledge through publications, open source, and education.

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience.

• Self-directed engineer/research scientist who can drive new research ideas from conception, experimentation, to productionisation in a rapidly shifting landscape.

• Strong research experience with LLMs and publications in ML security, privacy, safety, or alignment.

• Experience with JAX, PyTorch, or similar machine learning platforms.

• A track record on landing research impact within multi-team collaborative environments under senior stakeholders.

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.