Protection Analyst, Enterprise AI @ Google Cloud - Minnesota | Jobright.ai
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Google Cloud - Minnesota ยท 2 days ago

Protection Analyst, Enterprise AI

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Comp. & Benefits

Insider Connection @Google Cloud - Minnesota

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Responsibilities

Identify and prevent fraud and abuse.
Improve tools and automated systems through data analysis, technical expertise, and present to stakeholders.
Identify and investigate possible failure modes for GenAI products on a broad range from sociotechnical harms to misuse. Develop methodologies and techniques to scale and accelerate safety evaluations and responsible AI red teaming.
Perform in-depth analysis of risks, and measure and mitigate AI-related risks using benchmarking, evaluations, dataset design, and usage monitoring. Prepare analysis reports and present findings and solutions to stakeholders.
Collaborate with other Google teams to ensure that the issues are understood and solutions are adopted. Educate cross-functional teams about GenAI safety risks and advocate for responsible design principles. Promote a culture of safety and user trust throughout the product development process.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data AnalysisProject ManagementSQLPythonLarge-Scale Data AnalysisMachine Learning SystemsRelevant Domain KnowledgeAI PrinciplesProgramming Languages Proficiency Communication

Required

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.
Experience working with SQL, coLaboratory, or Python.
Experience in data analysis and working with datasets or LLMs.

Preferred

Master's degree in a quantitative discipline.
5 years of experience in large-scale data analysis.
2 years of experience or familiarity with machine learning systems.
Knowledge or experience in a relevant domain (e.g., anomaly detection, security threats analysis and investigation, abuse detection, time-series analysis, metrics and reporting) and strong understanding of AI principles, algorithms, and techniques.
Proficient in one or more programming languages (e.g., Go, Python, R, Julia, C/C++, Java, SQL).
Excellent communication skills.

Company

Google Cloud - Minnesota

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As one of the founding members of the Minneapolis branch for Google Cloud, I'm focused on helping the Fortune 500 in Minnesota digitally transform and innovate with the best of Google, Alphabet, and the Google Cloud Platform (GCP).
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