Introspection Probe Research Engineer, Development and Infrastructure, Gemini Security, DeepMind

AI Chopping Block, Inc.; Mountain View, Northern (CA, KY); Hybrid; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a Research Engineer for the Gemini Security team in Mountain View to develop detection methods and real-time interventions protecting Gemini from unauthorized distillation.

You will work on large-scale LLM training and serving infrastructure, deploy security classifiers, and collaborate with universities and internal teams to publish research and advance AI safety and security measures.

Qualifications

• Bachelor's degree in Computer Science or related field, or equivalent practical experience.
• Experience with large-scale LLM training and serving infrastructure.
• Experience training security or safety classifiers for large AI models.
• Experience deploying security or safety classifiers.
• 2 years of software development or engineering experience.
• Experience building real-time interventions for security in large-scale AI systems.
• Exceptional communication skills with the ability to influence cross-functional stakeholders and executives.
• A deep passion for AI technology and all of its possibilities.

Responsibilities

• Research, build and land improvements for Gemini security introspection heads.
• Research, build and land real-time interventions triggered by introspection heads.
• Partner with introspection team to improve heads training, serving and deployments.

Skills

LLM training

Security classifiers

Real-time interventions

Software development

Cross-functional comms

Research collaboration

Education

Bachelor's degree in CS or related field

Job description

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.

As a Research Engineer on the Gemini Security team, you will help build detection methods and interventions for protecting Gemini from unauthorized distillation.

Artificial intelligence will be one of humanity’s most transformative inventions. At 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.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Research, build and land improvements (training and inference) for Gemini security introspection heads.
• Research, build and land real-time interventions triggered by introspection heads.
• Partner with introspection team to improve heads training, serving and deployments.

Minimum qualifications:

• Bachelor's degree in Arts or Science in Computer Science, or a related technical field, or equivalent practical experience.
• Experience with large-scale LLM training and serving infrastructure.
• Experience training security or safety classifiers for large AI models.
• Experience deploying security or safety classifiers.

Preferred qualifications:

• 2 years of experience in software development or engineering.
• Experience building real-time interventions for security, safety or anti-abuse in large-scale AI systems.
• Exceptional communication skills with the ability to influence cross-functional stakeholders and executives.
• A deep passion for AI technology and all of its possibilities.