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AI Safety Analyst, Trust and Safety

Karnataka, India (On-site)

AI Safety Analyst, Trust and Safety

1 Month ago • 1-2 Years • Data Analyst

About the job

5 skills required for this role

Test your skills to join the top 1% applicants for this job

cpp

web-security

python

sql

data-science

Job Description

The AI Safety Protections team safeguards Generative AI experiences across Google products for all users, including enterprise clients. By developing and deploying safety classifiers, both server-side and on-device, the team ensures the distribution of safe and policy-compliant content. This role will involve developing scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques, applying statistical and data science methods to examine Google's protection measures, and uncovering potential shortcomings, and developing insights for continuous security enhancement. You will also be responsible for crafting compelling data stories for a variety of stakeholders, including senior leadership, developing automated data pipelines and self-service dashboards to provide timely insights at scale, and working with sensitive content/situations and may be exposed to graphic, controversial, or upsetting topics/content.

Must have:

Bachelor's degree or equivalent practical experience
1 year of experience in data analysis
1 year of experience managing projects

Good to have:

Master's degree in a quantitative discipline
2 years of experience in a data analysis or data science setting
1 year of experience with one or more of the following languages: SQL, R, Python, or C++
1 year of experience with machine learning systems
Experience in abuse and fraud disciplines, focused on web security, harmful content moderation, and threat analysis
Experience applying machine learning techniques to datasets

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Minimum qualifications:

Bachelor's degree or equivalent practical experience.
1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
1 year of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

Master's degree in a quantitative discipline.
2 years of experience in a data analysis or data science setting.
1 year of experience with one or more of the following languages: SQL, R, Python, or C++.
1 year of experience with machine learning systems.
Experience in abuse and fraud disciplines, focused on web security, harmful content moderation, and threat analysis.
Experience applying machine learning techniques to datasets.

About the job

Trust & 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.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop insights for continuous security enhancement.
Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including senior leadership.
Develop automated data pipelines and self-service dashboards to provide timely insights at scale.
Work with sensitive content/situations and may be exposed to graphic, controversial, or upsetting topics/content.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.