Principal Engineering Analyst, Responsible AI Testing
at Alphabet
Posted 11 hours ago
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- Compensation
- $174,000 – $258,000 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Join Google's Trust & Safety Responsible AI Testing team to protect the integrity of our platforms by delivering actionable content abuse insights. You will leverage data analysis to turn raw data into clear insights, build scalable data pipelines with SQL and Python, and partner with product and engineering teams to turn insights into action. The role involves modeling, experimentation, and causal inference to advance responsible AI testing across Google's products. You will work globally, collaborating with engineers and managers to promote user safety and trust.
Principal Engineering Analyst, Responsible AI Testing
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 7 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- 7 years of experience with machine learning systems.
- 7 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- Experience with modeling, experimentation, and causal inference.
- Excellent problem-solving and critical thinking 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 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 a member of the Trust and Safety Responsible AI Testing team, you will protect the integrity of our platforms by delivering actionable and objective content abuse insights. You will contribute to the development of innovative and safe products by providing strategic data and analysis.
Working within the Responsible AI Testing Sustainability team, you will evolve how AI testing is approached by partnering across Trust and Safety, product, and engineering teams to integrate AI and automation and turn insights into action.
This role involves working with sensitive content or situations and may include exposure to graphic, controversial, and upsetting topics or content.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 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.
Responsibilities
- Build scalable scripts and workflows using SQL and Python to automate data collection, enrichment, and delivery.
- Serve as a bridge between technical and non-technical teams by effectively translating trust and safety intelligence needs into clear, actionable requirements for data solutions.
- Establish standardized processes and methodologies for data analysis to ensure consistency and efficiency in generating insights across various topics.
- Work autonomously to identify and solve problems while collaborating within a team to develop comprehensive solutions.
- Transform raw data into clear visualizations and reports that communicate key findings and actionable recommendations to stakeholders.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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