Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Google

Senior Engineering Analyst, Trust and Safety, Cloud AI

Google

Published 14 May 2026
Seattle, WA, USA
159K - 231K USD Annual
Full Time
27500 - 275000 people

Share this job

Role Highlights

Languages used

SQL

Key skills

AI
Data Analysis
Anomaly Detection
Machine Learning
Data Science
Computer Science
API
Product Management
Operations Research
Critical Thinking
Trust & Safety
LLMs
Generative AI
Cloud
Statistics
Quantitative
PhD
Mathematics
Security
Interfaces
Search
Testing
DataSets
Malware
Infrastructure

Tools, Libraries and Frameworks

GCP
ADS

Description

The role involves ensuring that Cloud Artificial Intelligence products remain safe, secure, and trustworthy. The analyst will proactively identify and mitigate emerging threats, including adversarial attacks and the misuse of generative technologies. Responsibilities include synthesizing large datasets to uncover patterns of abuse and developing scalable safety solutions. The analyst will also define abuse guidelines for novel use cases and measure risks through benchmarking and monitoring. Furthermore, the position requires driving rapid responses to high-priority security incidents and conducting root cause analyses to implement long-term solutions.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. A minimum of five years of experience in data analysis or data science is required, specifically regarding identifying trends and drawing insights from data. Proficiency in SQL is necessary for the role. While not required, a Master's degree or PhD in a technical discipline is preferred.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

Share

Share this job

Related jobs

NLP
Data Mining
Reinforcement Learning
Machine Learning
Singapore
Full Time
AI
NLP
Information Retrieval
Tech Lead
Sunnyvale, CA, USA
Full Time
AI
NLP
Information Retrieval
Tech Lead
Singapore
Full Time