Research Engineer (AI/ML)

• 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

Benefits

• Unlimited PTO: You decide when and how long to take time off
• Fully paid health insurance: Fully paid medical, dntal, and vision insurance
• Complimentary meals: Free lunch and dinner in the office
• Parental leave: Generous paid leave to new parents
• Commuter benefits: Tax-free commuter benefits
• Regular team events: We work hard and play hard- Comfort making progress with noisy data, weak labels, incomplete specifications, and imperfect supervision
• 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
• Even if you don’t meet every qualification, we encourage you to apply. We care most about curiosity, craft, judgment, and drive