Über
REMOTE - UNITED STATES
$150,000 - $190,000 BASE + MEANINGFUL EQUITY + BENEFITS
The Opportunity
We're partnering with a fast-growing fintech startup building a new category at the intersection of commercial rent, cash-flow intelligence, and applied AI.
This is a
foundational machine learning role , not a research position. You'll own the systems that make real financial decisions in production, working directly with the founding team.
What You'll Be Working On Build and own underwriting and risk decisioning models used in production Analyze transaction-level financial data to identify key risk and performance signals Design ML systems that adapt to changing cash flow and user behavior Implement feedback loops that learn from real repayment outcomes Partner closely with founders on product and risk decisions What We're Looking For
4+ years building and shipping ML systems in production Strong data analysis skills with messy, real-world financial data Experience deploying Python-based ML models Ability to work independently with high ownership Decision-oriented mindset (focus on outcomes, not just models) Experience in risk, underwriting, or credit modeling Fintech or transaction-level data exposure Practical use of LLMs for classification or signal extraction Tech Stack (Required / Core)
Python for ML model development and data analysis Production ML deployment (risk scoring, thresholds, model iteration) SQL / PostgreSQL for working with transactional data Cloud environment (GCP or similar) Backend integration with Node.js / TypeScript-based systems Why This Role
As the first ML hire, you'll own greenfield systems that control real financial outcomes, collaborate directly with founders, and grow into a long-term leadership role with meaningful equity.
If you're motivated by building ML systems that directly affect real businesses, real cash flow, and real outcomes, APPLY.
Sprachkenntnisse
- English
Hinweis für Nutzer
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