Google DeepMind is looking to proactively identify, research, and address emerging AI ethics and safety challenges related to new AI capabilities and modalities to ensure responsible development and deployment of their technology.
Requirements
- Proven expertise in AI ethics, AI policy or a related field
- Demonstrable track record of implementing policies
- Strong research and writing skills, evidenced by publications in top journal and conference proceedings
- Ability to communicate complex concepts and ideas simply for a range of collaborators
- Ability to think critically and creatively about complex ethical issues
Responsibilities
- Systematically identify risks associated with emerging and proliferating AI capabilities
- Conduct original research on identified challenges, 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 artefacts 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 as appropriate.
- Work closely with relevant across the organisation to align and update the frameworks to ensure their continued relevance in a rapidly changing environment
Other
- A PhD, or equivalent experience, in a relevant field, such as AI ethics or safety, computer science, social sciences, or public policy
- Experience working within interdisciplinary teams
- The US base salary range for this full-time position is between $147,000 - $216,000 + bonus + equity + benefits.
- offer of employment will be conditional on the results of a background check
- We value diversity of experience, knowledge, backgrounds and perspectives
