Foundational ML Engineer


New York
Permanent
USD100000 - USD180000
Development and Engineering
PR/592822_1778865484
Foundational ML Engineer

About the Role

This early-stage startup is addressing a major financial challenge affecting over 50% of small and medium-sized businesses in the U.S. The core problem: fixed expenses (like rent) versus highly variable cash flow, which often creates unnecessary financial stress and contributes to business closures.

The company is building a product that transforms fixed costs into cash-flow-aligned payments using real-time transaction data. This creates a large market opportunity and lays the foundation for a broader "AI CFO"-type platform delivering financial insights to businesses and their partners (e.g., platforms, lenders, property operators).

The company is at the seed stage, launched in 2025, and experiencing rapid growth with early partnerships across fintech and related sectors.


Opportunity

The team is hiring its first Senior AI Engineer to own core modeling and decisioning systems end-to-end. This is a foundational role with significant ownership and direct impact on both technical direction and business outcomes.


What You'll Do

  • Model messy, real-world SMB cash flow data from transaction-level inputs
  • Build and iterate on underwriting and decision-making systems
  • Turn raw financial data into actionable insights for users and partners
  • Design signals that balance risk, growth, and user trust in real time
  • Collaborate closely with founders on product, risk, and roadmap decisions
  • Help define and scale the AI and data architecture
  • (Optional) Contribute to user-facing dashboards and interfaces if full-stack

Ideal Candidate

  • Experience building and shipping production ML or data systems
  • Comfortable working with noisy, imperfect financial data
  • Thinks in terms of decisions and outcomes, not just models
  • Motivated by real-world impact and ownership
  • Thrives in fast-moving, ambiguous environments
  • Interested in shaping the technical foundation of an early-stage company
  • Excited about being an early hire with meaningful equity and influence

FAQs

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