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Safety Engineer - Abuse and Fraud
San Francisco, California · On-site · FullTime · Engineering
$180K – $350K
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About the role
Machine LearningHubSpot
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you.
As a Safety Engineer - Abuse and Fraud, you will be thinking about Exa’s platform security, abuse of Exa as a platform, and safety in content. You will ensure that users are abiding by the terms of service and look at content moderation of text and multimodal.
WHAT YOU'LL DO
- Build fraud detection systems
- Be responsible for overall moderation
- Create our strategy within Exa, making sure our systems are compliant
- Interact with other stakeholders in different parts of the org, and content construction
WHAT WE'RE LOOKING FOR
- Experience in fraud and moderation systems
- Experience in content moderation
BONUS
- Any kind of experience in a large web property
Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.