Founding Machine Learning Engineer (10% Sweat Equity) jobs in United States
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Tradora.ai · 16 hours ago

Founding Machine Learning Engineer (10% Sweat Equity)

Tradora.ai is reimagining vehicle ownership through intelligence by building an AI-powered fintech platform that transforms cars into managed financial assets. They are seeking a Founding Machine Learning Engineer to help build, deploy, and scale their predictive AI stack, working directly with the founding team to operationalize core models and shape the company's data infrastructure.

Artificial Intelligence (AI)AutomotiveFinancial ServicesFinTechInsurTechLendingPredictive AnalyticsSaaS
Hiring Manager
Floris Chaumat
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Responsibilities

Implement predictive models for valuation, depreciation, and financial forecasting
Build production-grade pipelines, features, and model monitoring systems
Collaborate on model training, testing, and deployment across environments
Support data integration for finance, insurance, and mobility datasets
Drive experimentation and long-term scalability of Tradora’s ML systems

Qualification

Machine Learning EngineeringPythonPyTorch/TensorFlowSQLCloud ML ToolsFinancial ModelingSelf-directedResourcefulCreative

Required

3–6 years of experience in machine learning engineering or applied data science
Strong skills in Python, PyTorch/TensorFlow, scikit-learn, SQL, and cloud ML tools (AWS/GCP/MLflow)
Solid grounding in forecasting, optimization, or financial modeling
Thrives in early-stage environments — self-directed, resourceful, and creative
Motivated by equity participation and building real, defensible technology

Benefits

10% founding-level equity (sweat equity) — vested over time based on contribution milestones.

Company

Tradora.ai

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Pre-seed fintech-automotive AI platform unifying lending, insurance & resale into a predictive vehicle equity ecosystem.

Funding

Current Stage
Early Stage
Total Funding
$0.05M
Key Investors
Floris Chaumat
2025-10-01Pre Seed· $0.05M
Company data provided by crunchbase