Engineering Analyst, AI Answers, Google Search

Google Inc.; Dublin; On-site; EUR 90,000 - 92,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Job summary

Google's Dublin-based Share Engineering Analyst role focuses on analyzing data to identify trends and insights that help protect users from abuse and fraud. You will collaborate with Trust & Safety, Policy, and Product teams to implement policy-informed safeguards in a fast-moving environment.

The position emphasizes ML infrastructure, model evaluation, data processing, and close work with engineering teams to deliver measurable improvements.

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 utilizing Python and SQL to solve engineering problems.
• Experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Responsibilities

• Establish metrics to benchmark Generative-AI issues and quantify improvements.
• Develop datasets and run evals for engineers to evaluate and improve Search, Labs & Assistant products.
• Perform complex data analyses to derive insights that help identify and fight abuse across our products.
• Analyze and debug escalations and identify risks for product policies.
• Use technical judgement to drive project delivery and improve workflows.

Skills

Data analysis

Python

SQL

ML design & infra

Policy & abuse analytics

GenAI risk awareness

Statistics & hypothesis testing

Education

Bachelor's degree or equivalent practical experience

Job description

Share Engineering Analyst, AI Answers, Google Search

corporate_fare Google place Dublin, Ireland

• 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 utilizing Python and SQL to solve engineering problems.
• Experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Experience working with abuse, spam, fraud or malware.
• Experience working on product policy analysis and identifying policy risks.
• Experience working with CBRN and cyber threat risks in GenAI.
• Experience using statistical analysis and hypothesis testing.
• Experience analyzing ML models performance or working on LLMs.
• Strong influencing skills and ability to work in a dynamic environment.

About the job

At Google we work hard to earn our users’ trust every day. Gaining and retaining this trust is critically important to Google’s success. We defend Google's integrity by fighting spam, fraud and abuse, and develop and communicate state-of-the-art product policies. The Trust and Safety team reduces risk and protects the experience of our users and business partners across Google's expanding base of products. We work with a variety of teams from engineering to legal and public policy to set policies and combat fraud and abuse in a scalable way, often with an eye to finding industry-wide solutions. Trust and Safety team members are motivated to find innovative solutions, and use technical know-how, user insights and proactive communication to pursue the highest possible quality and safety standards for users across Google products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Salary and Benefits

• Ireland: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits
• Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Learn more about benefits at Google .

• Help to establish metrics to benchmark Generative-AI issues and quantify improvements. Develop datasets and run evals for engineers to evaluate and improve Search, Labs & Assistant products.
• Perform complex data analyses to derive insights that help identify and fight abuse across our products. Analyze and debug escalations and identify trends that can indicate bigger product risks.
• Use technical judgement to drive project delivery, challenge proposals and identify risks. Manage multiple interdependent projects of moderate to high complexity and scope against crashed timelines.
• Improve tools through data analysis, technical expertise, and presentations to key stakeholders. Enhance our operational workflows via process improvements and identification of automation opportunities.
• Review graphic, controversial, and sometimes offensive/sensitive content. Collaborate with other teams & functions: RAI, Policy, Product, etc.

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 .

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.