AI Agents for Fraud Review and Investigations. Backed by Y Combinator.
About the role
Train, fine-tune, and improve models for fraud, scams, abuse, and other high-stakes judgment workflows Own research threads focused on improving agent capability, reliability, and decision quality
What they're looking for
- US citizen/visa only
- Full-time Engineering role
More about this role
At Variance, we are teaching machines to make the hardest judgment calls at scale. We build AI agents for the high-precision gray area of stopping fraud, scams, and abuse. This isn't another sales tool or a customer service system. We're solving real problems in investigations and fraud prevention to protect innocent people from being harmed.
We’re a small, talent-dense team in San Francisco working on a problem at the edge of what AI systems can reliably do: making good decisions in messy, adversarial, real-world environments.
We’re looking for a Research Engineer to help push that frontier forward. You’ll design evals, study failures, build new research loops, and turn research ideas into production capabilities.
This role sits at the intersection of research and engineering: part model builder, part experimentalist, part systems engineer.
Care deeply about protecting people from fraud, scams, and abuse
Have strong opinions about model quality, evaluation, and experimental rigor
Want to work on core model and agent behavior
Are excited to train, fine-tune, and improve models for hard real-world judgment tasks
Think in tight research loops: hypothesis, experiment, evaluation,...
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