Research Engineer, AI/ML

Tabs is an AI operating system for revenue that helps finance and accounting teams automate revenue workflows with AI agents and applications. The Research Engineer, AI/ML will own AI problems from exploration through production, build and evaluate machine learning systems, and partner with product and engineering to deliver reliable AI features for finance teams.

Responsibilities:

• 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