As a part of the Responsible Development and Innovation team (ReDI) at DeepMind, you will be a virologist with extensive wet lab experience, focused on biology evaluations and mitigations of large language models (LLMs).
In this role, you will develop and maintain evaluations that enable decision-makers to ensure model releases are safe and responsible, along with the infrastructure that supports them.
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.
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 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design, develop and execute biology evaluations to test the safety of AI models.
- Drive the development and delivery of harm frameworks and mitigation strategies.
- Communicate results to relevant teams and decision-makers.
- Collaborate with experts in various fields of science, AI ethics, policy and safety.
Qualifications
Minimum qualifications:
- PhD in virology or equivalent practical experience.
- 2 years of postdoctoral or clinical experience spanning pathogenic viruses, bacteria, or agriculture.
- 2 years of experience applying biosecurity principles to evaluate the intersection of microbiology and AI safety, including Large Language Model (LLM) risk assessments.
- Experience identifying and documenting misuse scenarios for emerging technologies.
- Experience delivering technical presentations or reports, and translating data for cross-functional stakeholders.
Preferred qualifications:
- Experience in clinical wet lab virology and working in BSL-2 labs (or higher).
- Experience in using command line tools and coding.
- Knowledge of the issues with Dual Use Biology.
- Knowledge of issues of biological weapons, potential mitigations and awareness of relevant stakeholders.
- Understanding of Safety Frameworks in AI. Knowledge of the Biological Weapons Convention. An interest in the ethics and safety of AI systems, and in AI policy.
- Actively leveraged AI tools to accelerate research pipelines or safety benchmarks by a measurable margin.