Variance
Research Engineer, Judgment Systems
San Francisco
Sponsorship not specifiedDetected 113 days ago
Machine LearningLLMsAgentic AICustomer SupportResearch
About the role
- 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.
Responsibilities
- Own research threads focused on improving agent capability, reliability, and decision quality
- Build proprietary benchmarks, datasets, and evals that reflect real customer workflows, regulatory constraints, and real failure modes
- Design and run experiments across post-training, retrieval, tool use, planning, memory, and long-horizon agent behavior
- We develop evals and training loops that compound over time
- Ability to design clean experiments and draw reliable conclusions from noisy results
- Strong engineering judgment and a bias toward building
- We enjoy spirited debate, wild ideas, and building things we're proud of.
- We build AI agents for the high-precision gray area of stopping fraud, scams, and abuse.
Nice to have
- Preferred background
Compensation
- Competitive salary and meaningful equity
Benefits
- Competitive salary and meaningful equity
- Platinum-level medical, dental, and vision insurance
- Unlimited PTO, sick leave, and parental leave
- Up to $100 per month in reimbursement for personal health and wellness expenses
- Familiarity with LLMs, agent systems, post-training, reinforcement learning, retrieval, or adjacent areas
Company info
- At Variance, we are teaching machines to make the hardest judgment calls at scale.
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