Trust and Safety Analyst, Product Fairness, Responsible AI - Google

Seattle, WA

About the Job

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Washington D.C., DC, USA.

Minimum qualifications:

Bachelor's degree in a Social Science field, or a related field, or equivalent practical experience.
4 years of experience with red teaming, scaled evaluations, responsible AI, product policy development, or a related field.

Preferred qualifications:

Master's degree in relevant field.
Experience with data analytics tools such as business intelligence platform, SQL, etc.
Experience testing machine learning systems and preparing qualitative and quantitative data analysis.
Experience managing complex, multi-stakeholder projects under tight deadlines, with excellent written and verbal communication skills.
Knowledge of fairness considerations for responsibly implementing machine learning systems.
Ability to present data in clear, accessible, and compelling ways to executive audiences, and excellent problem-solving skills with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

As an analyst focused on product fairness, you will design and lead strategy and testing efforts to identify and mitigate fairness challenges across a variety of Google products. You will be part of a highly-motivated, collaborative team, working with groups across the company to analyze how products impact users and broader society, and leveraging data to provide solutions. You will work closely with cross-functional partner teams across Google (e.g., Product, Legal, UX, Operations, Research, and Engineering teams), and help solve challenging problems to ensure user trust in Google and our products.

In this role, you will focus on driving One Google solutions for industry-leading responsible AI applications. It is a global team with Responsible AI domain expertise and diverse backgrounds in operations, strategy, ethics, risk management, product management, and program management.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $108,000-$158,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Design and lead proactive algorithmic fairness testing, including scaled evaluations and red teaming session in support of Google’s AI principles.
Perform thorough 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 conducting their own fairness testing by providing technical, qualitative, and quantitative data support in assessing ML models and products.
Provide expert guidance to cross-functional working groups and partner teams to define fairness best practices and actionable solutions.
Work with sensitive content or situations and be exposed to graphic, controversial, or upsetting topics or content.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Source : Google