Associate Principal Strategist, Trust and Safety, Product Fairness

• Develop clear guidelines for identifying and assessing potential fairness implications across emerging generative AI technologies at scale.
• Design and build scaled fairness evaluations and provide subject expertise on ‘red teaming’ sessions.
• Perform in-depth analysis into fairness issues and vulnerabilities. Prepare written reports outlining user impact issues, abuse vectors, and trends, and effectively communicate findings to product and company leadership.
• Provide guidance to product teams in identifying and mitigating fairness challenges by providing technical, qualitative, and quantitative data support in assessing ML models and products.
• Respond to time sensitive requests, and provide expert guidance to executives and cross-functional working groups to define strategies and timely solutions for supporting responsible product development.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
  

Preferred qualifications:

• Master's degree or PhD in a relevant field.
  
• Education in, or experience with, machine learning.
  
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or a scripting/programming language (e.g. Python).
  
• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
  

• Bachelor's degree or equivalent practical experience.
  
• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.