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Senior Machine Learning Engineer

San Francisco Office💼 Full-time💰 $244,000–$244,000🗓 2026-07-20 → 2026-07-31

Core

Design, build, and maintain ML infrastructure and operations for cash advance underwriting models and other financial service applications.

Role type

Senior Machine Learning Engineer (MLOps & Model Deployment)

Builds

Scalable ML models and data pipelines for underwriting and financial services

Domain

Fintech / Credit Underwriting

Deliverable

production ML models

Required skills

Python, Ruby, TensorFlow, PyTorch, MLOps, AWS, GCP, Docker, Kubernetes, data structures, algorithms, software design principles

Preferred skills

Advanced degree in CS/Engineering/Mathematics

Technologies

TensorFlow, PyTorch, AWS, GCP, Docker, Kubernetes

Responsibilities

Design and maintain data pipelines for ML models; Develop and deploy robust ML models for underwriting; Collaborate with cross-functional teams to integrate models into production; Monitor and optimize model performance; Design and implement A/B testing experiments; Mentor junior engineers

Seniority

Senior, hands-on IC with mentorship responsibilities

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