Data Scientist, Safety (AI)

TL;DR

Data Scientist, Safety (AI): Building analytical foundations to deploy AI responsibly with an accent on measuring harmful behavior, detecting fraud, and improving safety classifiers. Focus on designing experiments, performing causal analyses, and translating ambiguous safety risks into measurable problems.

Location: San Francisco, New York, or London

Salary: $230K – $325K USD

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

• Measure harmful or abusive behavior across hirify.global’s products and detect fraud, manipulation, and coordinated misuse.
• Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows.
• Design experiments and causal analyses to understand product, policy, and mitigation impacts.
• Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks.
• Diagnose gaps in safety and integrity systems using behavioral and product data to navigate false positive/negative tradeoffs.
• Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes.

Requirements

• Strong statistical reasoning and analytical judgment.
• Experience with experimentation, causal inference, or observational analysis.
• Strong proficiency in SQL and Python.
• Experience working with messy, incomplete, or noisy datasets.
• Ability to structure open-ended business or risk problems.
• Excellent communication skills with technical and non-technical stakeholders.

Nice to have

• Background in Trust & Safety, Integrity, Fraud & Abuse, or Security analytics.
• Experience in AI/ML model measurement and evaluation.
• Knowledge of alignment and AI safety research.
• Expertise in biosecurity, synthetic biology, infectious diseases, or computational biology.

Culture & Benefits

• Work on mission-critical problems with world-level impact.
• Help shape how frontier AI systems are deployed safely.
• Operate with unusual ownership and visibility within the company.
• Join highly collaborative teams working across the organization.
• Solve novel problems where there are no existing playbooks.