Software Engineer, Ads Integrity (AI)

TL;DR

Software Engineer, Ads Integrity (AI): Design and build foundational backend systems for ads integrity to ensure safe, trusted, and sustainable advertising growth for products like ChatGPT. With an accent on verifying advertiser identity, evaluating ad content and landing pages for policy compliance, and ensuring appropriate ad placements within conversational AI. Focus on contributing to ML/LLM-adjacent systems for automated decision-making and risk detection, while shaping the technical direction of a high-impact 0->1 team.

Location: San Francisco, US-based

Salary: $200K – $370K + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Design and build backend systems ensuring ads and advertisers meet safety, trust, and compliance standards.
• Develop mechanisms for advertiser identity verification and risk assessment.
• Build and improve systems to evaluate ad content and landing pages for user safety and policy compliance.
• Determine where and how ads are shown, ensuring appropriate placements in conversational AI surfaces like ChatGPT.
• Partner cross-functionally with Core Ads, Integrity, and Personalization teams.
• Contribute to ML and LLM-adjacent systems for automated decision-making and risk detection.

Requirements

• At least 6 years of professional software engineering experience.
• 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.
• Care about AI Safety in production environments and expertise to build software systems defending against abuse.
• Experience in trust, safety, integrity, fraud, abuse prevention, or risk-sensitive domains.
• 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.

Culture & Benefits

• Dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
• Committed to being an equal opportunity employer and providing reasonable accommodations to applicants with disabilities.
• Offers equity.
• Opportunity to work on a 0→1 team with significant ownership and influence.