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

Strong statistical and machine learning fundamentals, with good judgment about when the answer is classical ML, an LLM, agents, or something in between
Experience shipping ML or AI systems end-to-end, from data and evaluation through production
Comfort making progress with noisy data, weak labels, incomplete specifications, and imperfect supervision

Tabs, New York City, NY

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

Strong statistical and machine learning fundamentals, with good judgment about when the answer is classical ML, an LLM, agents, or something in between
Experience shipping ML or AI systems end-to-end, from data and evaluation through production
Comfort making progress with noisy data, weak labels, incomplete specifications, and imperfect supervision