AI Ethics and Safety Policy Researcher, DeepMind
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Minimum qualifications:
- PhD in AI Ethics or Safety, Computer Science, Social Sciences, or Public Policy, or equivalent practical experience.
- Experience in AI ethics or AI policy.
Preferred qualifications:
- Strong research and writing skills, evidenced by publications in top journal and conference proceedings.
About the job
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.
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify risks associated with emerging and proliferating AI capabilities.
- Conduct original research on identified issues, gathering information from a variety of sources, including external and internal experts, academic literature, and industry reports.
- Design and build operational frameworks for mitigating model risks, converting them into standardized artifacts such as universal training datasets and evaluation protocols.
- Collaborate with model development teams to help them adopt and apply these frameworks, guiding them in defining project-specific metrics and criteria for significant results. Communicate findings and recommendations to stakeholders, including researchers, engineers, product managers, and executives.
- Support the teams across GDM in interpreting the frameworks and ensuring that training and evaluation data is appropriate. Work closely with relevance across the organization to align and update the frameworks to ensure their continued relevance in a rapidly changing environment.
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