Google · 14 hours ago
Engineering Analyst, Trust and Safety, RAI Novel Testing
Mountain View, CA, USA
Full-time
Onsite
Senior Level
$174K/yr - $258K/yr
7+ years expGoogle is a leading technology company specializing in innovative AI solutions, and they are seeking an Engineering Analyst for their Trust and Safety team. The role involves developing novel testing methodologies for AI products, ensuring safety standards are met, and collaborating with cross-functional teams to drive insights and implement safety initiatives.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
Responsibilities
Drive the methodological frontier of model evaluation. Partner with Google DeepMind to develop novel, data-driven methodologies for the structured and unstructured testing of emerging AI products and model capabilities. Move beyond standard benchmarks, designing sophisticated experimental frameworks, and uncovering latent model behaviors and capabilities
Define testing and safety standards, working with cross-functional colleagues, policy, and engineering, to ensure they are met. Perform analyses and drive insights to develop model-level and product-level safety mitigations
Lead and influence cross-functional teams to implement safety initiatives. Act as an advisor to executive leadership on complex safety issues
Represent Google's AI safety efforts in external forums and collaborations, contributing to industry-wide best practices. Mentor analysts, fostering a culture of excellence and acting as a subject matter expert on adversarial techniques
Work with graphic, controversial, or upsetting content
Qualification
Required
Bachelor's degree or equivalent practical experience
7 years of experience in managing projects and defining project scope, goals, and deliverables
7 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data
5 years of experience in data analysis with experience in SQL or Python
Preferred
Master's degree or PhD in a relevant quantitative or engineering field
5 years of experience working in trust and safety operations, data analytics, cybersecurity, or other relevant environment
Experience working with large language models, LLM operations, prompt engineering, pre-training, and fine-tuning
Experience in designing and conducting experiments or quantitative research in a technology or AI context
Experience in AI systems, machine learning, and their potential risks
Strong technical competency with a data-driven investigative approach to solve complex tests, including proficiency in data manipulation, analysis, and automation using languages like Python and SQL
Benefits
Bonus
Equity
Benefits
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
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