Research Engineer, Security and Privacy, DeepMind

About the Job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

The mission of the team is to build solutions for securing Gemini against prompt injections and other contextual security attacks, as well as, building out of model defenses against prompt injection attacks on AI agents. The latter includes classifiers as well as policy related solutions.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Develop security and privacy solutions for AI agents against prompt injections and other contextual security vulnerabilities, particularly, out-of-the-model solutions such as classifiers and policy engines.
• Work with product teams to get their requirements and security policies in order to develop practical privacy and security solutions.

Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software engineering or a related technical field.
• 2 years of experience in Security and Privacy.
• Experience with Python or C++.

Preferred qualifications:

• Master's degree or PhD.
• Research experience, authored publications in AI/ML.
• Passion for AI technology and all of its possibilities.