Software Engineer, Ads Integrity
- Location
- San Francisco
- Salary range
- USD $293,000 – $385,000 base
- Workplace
- Remote
- Level
- Individual contributor
- Job family
- Engineering
- Posted
- 4 weeks ago
The T&S Network estimates this role to be P3, Senior. The typical base salary for that level in Safety Engineering & Data Science is $240k to $340k at a frontier lab. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.
Why this level
Estimated from the posting rather than stated by the employer: posts $293k to $385k base at a frontier lab · the title reads as P2.
The role, in T&S terms
Written by the T&S Network from OpenAI's posting.
Backend engineering for integrity on OpenAI's new ads products, protecting advertiser onboarding, ad content and the ads ecosystem from fraud, spam, manipulation and other abuse. The Ads Integrity team is building these protections into the ads platform from the start, working with Ads, Policy, Safety, ML, Privacy and Security teams.
What you'd do
- Build large-scale backend systems that catch deceptive, fraudulent or rule-breaking ads before they cause harm.
- Build low-latency integrity infrastructure that evaluates risk signals and makes decisions in or near real time.
- Build systems that vet advertisers at signup, confirm who owns a business, and flag risky accounts and fraud.
- Integrate classifiers and ML-based signals into real-time and asynchronous production integrity systems with ML teams.
- Build feedback loops, review workflows and metrics that keep wrongful blocks of legitimate advertisers low.
- Create tooling that lets operations and policy teams investigate abuse and make explainable enforcement decisions.
What it asks for
- Years of hands-on work building and running large-scale backend or distributed systems.
- Experience building detection, decisioning, enforcement, verification or risk infrastructure in production.
- Familiarity with ML-based signals for ads integrity (preferred)
- Experience with ads, advertiser systems or ads fraud (preferred)
Worth knowing
- Based in San Francisco; relocation assistance offered.
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on OpenAI before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About OpenAI

The employer
About OpenAI
AI and model safety · San Francisco, CA · 1,001 to 5,000 people · Founded 2015
AI research company behind ChatGPT and the GPT family of models.
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