Research Engineer, AI/ML
Tabs, New York City, NY
The role
You’ll work on a fast-moving AI team, owning problems from initial exploration through production.
- Turn messy financial data and ambiguous problems into working AI products, starting with simple baselines and adding complexity only when it earns its keep
- Build evaluations that reflect real user outcomes, then use error analysis, ablations, and production feedback to make the system better
- Make practical tradeoffs across model quality, cost, latency, determinism, reliability, and maintainability
- Partner closely with product and engineering to build AI features that take real work off finance teams’ plates