Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building the technical solutions, from fine-tuning techniques to classifier-based guardrails.
Partner with Engineering, Product, Policy and Legal to set precedents and create defensible principles for new AI capabilities.
Analyse the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into a proactive mitigation agenda.
Become the go-to person for issues related to the area of the business and use the domain knowledge to provide partners with insights and analyses.
Review and be exposed to sensitive or violative content as part of the role. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
5 years of experience with SQL, Python, analytics and automation.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Preferred qualifications:
Master's degree in a quantitative discipline.
Experience working with the technical and policy challenges of AI systems and working on novel AI risks and threat actors engaging in cyber mis-use, societal harms, weaponization, etc.
Experience leading complex, cross-functional projects and setting the direction and experience with Python or other scripting languages for data analysis and prototyping.
Experience using statistical analysis and hypothesis testing and excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Excellent communication skills with an interest in innovation, technology, and Google products.
