Research Engineer (AI/ML)
Tabs
- New York, United States
- Mid Level
- 3+ years
- Bachelor's degree
- Posted
Skills
Required
- ML / AI
- machine learning
- classical ML
- retrieval
- similarity search
- model evaluation
- LLM applications
- Python
- TypeScript
Preferred
- ablations
Join a fast-moving AI team as a Research Engineer (AI/ML). You will own problems from initial exploration through production, turning messy financial data into working AI products. You will build evaluations that reflect real user outcomes and make practical tradeoffs across model quality, cost, latency, determinism, reliability, and maintainability. You will partner closely with product and engineering to build AI features that take real work off finance teams' plates.
About Tabs
Even if you don’t meet every qualification, we encourage you to apply. We care most about curiosity, craft, judgment, and drive
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.
- Comfort making progress with noisy data, weak labels, incomplete specifications, and imperfect supervision
Requirements
- Experience shipping ML or AI systems end-to-end, from data and evaluation through production
- Strong statistical and machine learning fundamentals, with good judgment about when the answer is classical ML, an LLM, agents, or something in between
- 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; TypeScript or modern web application experience is a plus
- Equivalent practical experience demonstrated through shipped systems, independent research, open-source work, or another nontraditional path
- A bachelor’s degree in a relevant quantitative field plus 3+ years of relevant industry or applied research experience
- A relevant PhD; doctoral research counts as relevant experience, with 3 years of substantive doctoral research considered equivalent to the experience above
- A relevant master’s degree plus 1+ year of relevant industry or applied research experience
Pay
USD 170,000 - 235,000
Benefits
- Enjoy benefits such as unlimited PTO, fully paid health insurance, complimentary meals, parental leave, commuter benefits, and regular team events.
- Research Engineer (AI/ML) - Work on a fast-moving AI team, owning problems from initial exploration through production.