Senior AI Evaluation & Testing Lead

Google

Seattle (WA)

On-site

USD 171,000 - 247,000

Full time

40 hours ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
Paid time off
Sick time

Job summary

Google is seeking a leader in AI testing and evaluation within the Trust and Safety ecosystem. You will design novel, data-driven evaluation methods for emerging AI products and partner with DeepMind and Data Science to push the boundaries beyond standard benchmarks.

You will define safety standards, mentor analysts, and coordinate with engineering teams to build scalable evaluation infrastructure. The role requires a researcher mindset and technical agility to translate insights into

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in AI testing or research, data analytics, data science, or a related field.

Responsibilities

  • Drive the methodological frontier of model evaluation and develop data-driven testing methodologies.
  • Define testing and safety standards, and develop model-wide mitigations.
  • Lead cross-functional teams to implement safety initiatives and advise executives.
  • Represent Google's AI safety efforts in external forums and mentor analysts.
  • Work with sensitive content, potentially facing graphic or upsetting topics.

Skills

AI testing experience
Data analytics
SQL
Python
Experiment design
Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in relevant field

Job description

Google is seeking a leader in AI testing and evaluation within the Trust and Safety ecosystem. You will design novel, data-driven evaluation methods for emerging AI products and partner with DeepMind and Data Science to push the boundaries beyond standard benchmarks.

You will define safety standards, mentor analysts, and coordinate with engineering teams to build scalable evaluation infrastructure. The role requires a researcher mindset and technical agility to translate insights into

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