Research Engineer, Genai Post - training For Security & Privacy

Research Engineer, GenAI Post-Training for Security & Privacy

Leveraging our best-in-industry auto-red teaming capabilities, our mission is to unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions. We have already delivered a substantial improvement in prompt injection resilience in Gemini 2.5, and are continuing to make security and privacy improvements across all aspects of Gemini post-training.

Key responsibilities:

As a Research Engineer in the GDM Security & Privacy Research team, you will be responsible for:

• Building post-training data and tools to improve model capabilities in the problem areas, evaluating and auto-red teaming, and contributing successful solutions into Gemini and other models.
• Amplifying the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education.

About you:

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience.
• Demonstrated experience in training or fine-tuning generative models to improve capabilities.

In addition, any of the following would be an advantage:

• Experience with JAX, PyTorch, or similar machine learning platforms.
• Demonstrated experience in Python through strong artifacts in building readable, scalable, reusable ML software.
• Demonstrated experience in adapting research outputs into impactful model improvements, in a rapidly shifting landscape and with a strong sense of ownership.
• Research experience and publications in ML security, privacy, safety, or alignment.
• Being motivated to solve security and privacy issues with frontier models.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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.