Research Engineer, AI/ML

The Job

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

What You Bring

• 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; TypeScript or modern web application experience is a plus

Experience and Education

We welcome a range of backgrounds. Successful candidates will typically have one of the following:

• A bachelor’s degree in a relevant quantitative field plus 3+ years of relevant industry or applied research experience
• A relevant master’s degree plus 1+ year 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
• Equivalent practical experience demonstrated through shipped systems, independent research, open-source work, or another nontraditional path

How We Work

We’re a small team, so everyone has a hand in deciding what to build and making it work in the real world.

• We ship, learn from real usage, and iterate
• We make assumptions explicit, follow the evidence, and communicate tradeoffs clearly
• We stick with hard problems and welcome better ideas, regardless of where they come from
• We help where the team needs us, even when it falls outside our immediate scope
• We collaborate closely in person five days a week

• No one gets extra points for making the solution more complicated than the problem.
• Even if you don’t meet every qualification, we encourage you to apply. We care most about curiosity, craft, judgment, and drive.

Perks and Benefits (Full-time Employees)

• 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