Research Engineer, AI/ML
About The Position
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. 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
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
Nice To Haves
- TypeScript or modern web application experience is a plus
Responsibilities
- Owning problems from initial exploration through production
- Turning messy financial data and ambiguous problems into working AI products, starting with simple baselines and adding complexity only when it earns its keep
- Building evaluations that reflect real user outcomes, then using error analysis, ablations, and production feedback to make the system better
- Making practical tradeoffs across model quality, cost, latency, determinism, reliability, and maintainability
- Partnering closely with product and engineering to build AI features that take real work off finance teams’ plates
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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
