Engineering Analyst II, AI Safety
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 2 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Master's degree in a quantitative discipline or equivalent practical experience.
- 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- 2 years of experience with machine learning systems.
- Excellent problem-solving skills with attention to detail in a fluid environment.
- Excellent written and verbal communication skills.
About the job
Trust and 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.
Our mission is to protect GenAI products with robust safety filters and apply AI to combat harmful content.
This role works with sensitive content or situations and will be exposed to graphic, controversial, or upsetting topics or content.
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
- Solve complex problems using data and statistical methods.
- Identify and prevent fraud and abuse.
- Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders.
- Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
- Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop insights for continuous security enhancement.
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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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