Research Engineer, AI/ML

Tabs is the AI Operating System for Revenue, built for modern finance and accounting teams. It combines deep revenue and accounting expertise with the agents and applications needed to run revenue work end to end. Tabs understands customer and contract context, applies accounting logic, and executes critical workflows with built in controls, auditability, and human oversight. With Tabs, finance teams can move from manually managing revenue workflows to directing outcomes while the system executes the work.

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; Own problems from initial exploration through production on a fast-moving AI team

Requirements

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; Experience across several of: classical ML, embeddings, retrieval and reranking, similarity search, model evaluation, LLM applications, and agentic systems; Strong Python skills and the ability to contribute to production software; Bachelor's degree in a relevant quantitative field plus 3+ years of relevant industry or applied research experience, or a relevant master's degree plus 1+ year of relevant industry or applied research experience, or a relevant PhD (3 years of substantive doctoral research considered equivalent to the experience above), or equivalent practical experience demonstrated through shipped systems, independent research, open-source work, or another nontraditional path

Nice to have

TypeScript or modern web application experience

Benefits

Competitive compensation and equity; Unlimited PTO; Up to 100% employer covered monthly healthcare premium (medical, dental, vision); Lunch provided via Sharebite, plus dinner for any later in office days; Parental leave up to 12 weeks; Tax free commuter and parking benefits; Voluntary insurances (Life, Hospital, Critical Illness, Accident); Employee Assistance Program (Rightway); Free One Medical Membership; 401k