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: In this role, you'll work with a team of elite researchers and engineers to design and implement defense systems that prevent cybersecurity misuse on Gemini. You will bring contributions to our ML defense innovation, post-training refinement, advanced evaluation, benchmark creation, data generation, and scalable deployment.

• Develop and deploy advanced AI/ML solutions to identify and mitigate potential cybersecurity misuse, leveraging prompt engineering, machine learning, and post-training.
• Implement advanced post-training algorithms to optimize Gemini for cybersecurity misuse prevention.
• Diagnose and interpret training outcomes (regressions, gains), and propose and implement solutions to improve model capabilities.
• Actively monitor and evolve the overall defense system's mitigation capability through system metric design and improvement.
• Develop reliable automated evaluation pipeline for cybersecurity misuse mitigation metrics that are strongly correlated with human expert judgment of threat severity.
• Construct adversarial evaluation benchmarks to probe the limits and failure modes of cybersecurity misuse mitigation performance.

About You: We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

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

• BSc, MSc or PhD/DPhil degree in computer science, applied stats, machine learning or similar experience working in industry
• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)
• Cybersecurity knowledge and background is a great advantage.
• Deep understanding of machine learning and statistics
• Strong knowledge of systems design and data structures
• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: September 26, 2025

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.