About the role

Aplyr's Quick Take

This role is for a Software Engineer focused on ensuring ad integrity at OpenAI. You'll design and build backend systems to verify advertiser identity and assess ad content for safety and compliance, working closely with cross-functional teams. It's an individual contributor position with significant ownership in a new team.

Good fit

Ideal candidates have at least 6 years of software engineering experience and are comfortable with backend services and data pipelines. A collaborative, self-directed work style and a willingness to tackle diverse challenges will help you thrive here.

Worth noting

This is a new team at OpenAI, which means you'll have a chance to shape processes and systems from the ground up. The role emphasizes both technical skills and a commitment to responsible advertising practices.

About the Team

We’re building the Ads Integrity team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of rapid revenue growth and responsible platform stewardship, designing systems that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles, and this team is key to that.

About the Role

As a Software Engineer on Ads Integrity, you’ll work on foundational integrity problems across advertiser identity, ad content, placement, and landing-page safety. You’ll help define how ads responsibly show up in products like ChatGPT, partnering closely with Ads, Integrity, and Personalization teams to put the right constraints and protections in place as we move fast.

This is a high-impact role on a 0 → 1 team with significant ownership and influence over how ads evolve at OpenAI.

In this role, you will:

Design and build backend systems that ensure ads and advertisers meet safety, trust, and compliance standards.
Develop mechanisms to verify advertiser identity (“know your customer”) and assess advertiser risk.
Build and improve systems that evaluate ad content and landing pages for user safety and policy compliance.
Help determine where and how ads are shown, ensuring placements are appropriate, contextual, and aligned with user trust—especially in conversational AI surfaces like ChatGPT.
Partner cross-functionally with Core Ads, Integrity, and Personalization teams to balance growth goals with safety constraints.
Contribute to ML and LLM-adjacent systems that support automated decision-making, classification, and risk detection.
Shape technical direction, architecture, and best practices as the Ads Integrity organization scales.

You might thrive in this role if you:

Have at least 6 years of professional software engineering experience.
Have experience setting up and maintaining production backend services and data pipelines.
Comfortable operating as a generalist across distributed systems, data pipelines, and applied ML integrations.
Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
Are self-directed and enjoy figuring out the best way to solve a particular problem.
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse.
Motivated by working on ads—not just growth, but the responsibility that comes with it.
Experienced in trust, safety, integrity, fraud, abuse prevention, or risk-sensitive domains (ads experience is a strong plus).
Excited to work closely with product, policy, and other XFN partners to solve ambiguous, high-stakes problems.
Able to take ownership, mentor others, and help set technical standards on a growing team.

Nice to Have:

Experience working with or training ML/LLM-powered systems for classification, moderation, or risk assessment.
Familiarity with advertiser ecosystems, ad marketplaces, or ad delivery pipelines.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek

Skills & Tags

go rust aws ai backend data product design

Aplyr's read

OpenAI is a pioneering AI research organization focused on developing AGI to benefit humanity, attracting talent keen on ethical and innovative AI solutions.
Synthesized from recent postings & public sources

What's promising

•OpenAI is at the forefront of AI research, driving innovation in artificial general intelligence.
•The company emphasizes ethical AI development, appealing to those passionate about responsible technology.
•OpenAI offers diverse roles across engineering, sales, and creative fields, indicating a dynamic work environment.

What to watch

•OpenAI's rapid growth may lead to organizational challenges and resource strain.
•The focus on AGI poses inherent risks and ethical dilemmas that require careful navigation.
•Limited public information about internal culture and work-life balance may concern potential applicants.

Why OpenAI

•OpenAI's mission to ensure AGI benefits all of humanity sets it apart in the tech industry.
•The organization combines cutting-edge research with a strong emphasis on ethical AI practices.
•OpenAI's diverse hiring across global markets reflects its commitment to international impact and collaboration.

Aplyr’s read is generated by AI from public sources. Was it useful?

About OpenAI

OpenAI

openai.com

View company

OpenAI is an artificial intelligence research organization that aims to ensure that artificial general intelligence (AGI) benefits all of humanity. They develop advanced AI technologies and promote safe and responsible AI practices.