Machine learning engineer building ML systems for fintech underwriting and portfolio management.
Build and deploy machine learning models at scale for a financial infrastructure platform's capital products. You'll design state-of-the-art models, develop training pipelines, and integrate solutions into production systems. This role requires at least two years shipping ML systems in production, with expertise across algorithms, model training, deployment, and large-scale data orchestration. Based in California with hybrid flexibility (50% remote).
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Found at a specialist agency · listed 18 August 2026 · InsideJobs links you to the original posting.