Data Scientist, Integrity (AI)

TL;DR

Data Scientist, Integrity (AI): Designing and building fraud detection and remediation systems for hirify.global's products with an accent on balancing fraud loss, cost of implementation, and customer experience. Focus on combating fraudulent and abusive actors, utilizing GPT-5 and future models to stay ahead of adversaries.

Location: This role is based in our San Francisco HQ. We offer relocation assistance to new employees.

Salary: $293K – $325K + 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 systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience.
• Work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on our system.
• Stay abreast of the latest techniques and tools to stay several steps ahead of determined and well resourced adversaries.
• Utilize GPT-5 and future models to more effectively combat fraud and abuse.

Requirements

• Have experience on a highly technical trust and safety team and/or have worked closely with policy, content moderation, or security teams.
• Can use coding languages (Python preferred) to programmatically explore large datasets and generate actionable insights to solve problems.
• Proven ability to propose, design, and run rigorous experiments (A/B tests, quasi-experiments, simulations) with clear insights and actionable product recommendations, leveraging SQL and Python.
• Excellent communication skills with a track record of influencing cross-functional partners, including product managers, engineers, policy leads, and executives.
• 5+ years of quantitative experience in ambiguous environments, ideally as a data scientist at a hyper-growth company or research org, with exposure to fraud, abuse, or security problems.

Nice to have

• Bonus if you have experience with deploying scaled detection solutions using large language models, embeddings, or fine tuning.