Tabs
Research Engineer, AI/ML
$170K–$235K
New York City, NY · On-site · Full-time · Posted Sep 29, 2026
- Experience
- Typically: 3+ years of relevant industry or applied research experience with a relevant bachelor’s degree; 1+ year with a relevant master’s degree; or relevant PhD, with 3 years of substantive doctoral research considered equivalent to the experience above. Equivalent practical experience is also accepted.
- Education
- Relevant bachelor’s degree, relevant master’s degree, relevant PhD, or equivalent practical experience.
About the job
Own AI/ML problems from exploration through production, building and improving systems that automate revenue and accounting work for finance teams.
What you'll do
- Turn messy financial data and ambiguous problems into practical AI products.
- Build evaluations and improve systems through error analysis, ablations, and production feedback.
- Partner with product and engineering to deliver AI features, balancing quality, cost, latency, reliability, and maintainability.
What they ask for
- Strong statistical and machine learning fundamentals.
- Experience shipping ML or AI systems end-to-end, from data and evaluation through production.
- Experience across several of classical ML, embeddings, retrieval and reranking, similarity search, model evaluation, LLM applications, and agentic systems.
- Strong Python skills and ability to contribute to production software.
Nice to have
- TypeScript or modern web application experience.
Pay
$170K – $235K USD base salary
Tools
Python, TypeScript
AI focus
Build and evaluate AI/ML systems for finance workflows, potentially using classical ML, LLM applications, retrieval, or agentic systems.
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