[ research ]
Research Engineer, Evals
Variance- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Variance. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Research Engineer focused on model evaluation at Variance. This role involves building benchmarks, datasets, tooling, and evaluation loops to measure and improve AI model quality in high-stakes domains like risk investigations and fraud detection.
Skills and focus areas
- model quality
- measurement
- experimental rigor
- hypothesis testing
- benchmark design
- evaluation
- failure analysis
- iteration
- engineering fundamentals
- robust systems
- dataset curation
- task refinement
Summary written by Ramai from the original posting. Full details and requirements are on Variance’s careers page.
[ More at Variance ]
AI Agents for Fraud Review and Investigations
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