Research Engineer, GenAI Post-Training for Security & Privacy at Google DeepMind

Job Description:

Latest job information from Google DeepMind for the position of Research Engineer, GenAI Post-Training for Security & Privacy. If the Research Engineer, GenAI Post-Training for Security & Privacy vacancy in London, Greater London matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Google DeepMind for the position of Research Engineer, GenAI Post-Training for Security & Privacy below matches your qualifications.

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

Deadline: August 29, 2025

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.

Job Info:

• Company: Google DeepMind
• Position: Research Engineer, GenAI Post-Training for Security & Privacy
• Work Location: London, Greater London
• Country: GB

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Research Engineer, GenAI Post-Training for Security & Privacy at the office London, Greater London above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.