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Jobs/San Francisco/Software Engineer, AI Safety
San Francisco, CA

Software Engineer, AI Safety

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety.

Company
OpenAI
Compensation
$185K - $325K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn more about OpenAI’s approach to safety. Responsibilities: - Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior. - Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values. . - Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure. - You have built and run production services in a high growth, rapidly scaling environment. - You can debug live issues and restore systems quickly. - You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Software Engineer, AI Safety role.

  • Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.
  • Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values. .
  • Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure.
  • You have built and run production services in a high growth, rapidly scaling environment.
  • You can debug live issues and restore systems quickly.
  • You have worked on content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety.
UpJobz market context

Why this listing is more than a copied job post.

Software Engineer, AI Safety is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

$185K - $325K is visible before the click, so candidates can compare the role against local market expectations before applying.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to software engineer, ai safety is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceOn-siteaillmmachine-learningresearch

Watchouts

  • $185K - $325K is visible, so calibrate your application around the posted range.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningresearchpythonkubernetesterraformawsazurepostgressecurityplatformapiinfrastructure
Next step

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Source: jobs.ashbyhq.com · Source ID: b9dee2a0-9bb3-447e-9bce-2b1bed784e5b · Confidence: 97/100 · Last checked: May 7, 2026

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