Associate Principal Strategist, Trust and Safety, Product Fairness

Written by the T&S Network from Google's posting.

Fairness work inside Google's Responsible AI pillar, under Trust & Safety, covering emerging generative AI technologies and product fairness across Google products. The Emerging AI Strategy function sets coherent approaches to AI issues, including fairness, and builds evaluation frameworks for partner teams.

What you'd do

• Write clear guidelines for spotting and assessing fairness implications in generative AI products at scale.
• Design and build scaled fairness evaluations and advise on red teaming sessions.
• Analyze fairness issues and vulnerabilities, then write reports on user impact, abuse vectors, and trends.
• Present findings to product and company leadership.
• Advise product teams on identifying and mitigating fairness challenges using technical, qualitative, and quantitative data on ML models and products.
• Respond to time-sensitive requests and advise executives and cross-functional working groups on responsible product development.

What it asks for

• A bachelor's degree, or hands-on work experience in place of one.
• Master's degree or PhD in a relevant field (preferred).
• Education in or experience with machine learning (preferred).
• Experience with SQL, dashboards, data collection and transformation, or a scripting language such as Python (preferred).
• Excellent written and verbal communication and presentation skills, with the ability to influence cross-functionally (preferred).

Terms in this role

Red teaming.

Testing a system, often an AI model, by deliberately trying to make it fail or misbehave, so problems are found and fixed first.

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