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Machine Learning Platform Engineer at Mercury - ApplyBlast

Machine Learning Platform Engineer

Mercury

1 month ago

3.9 on Glassdoor

Remote

Full Time

Senior

7 applicants

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About this role

The Machine Learning Platform (MLP) team builds and operates the infrastructure that takes trained models from registry through production deployment, real-time inference, and observability. This role focuses on creating a reliable, low-latency platform for risk decisioning, supporting fraud and financial crime outcomes. The position involves owning the production ML lifecycle and partnering with Data Science to ensure smooth model handoffs and operations.

Responsibilities

Build and operate real-time inference services for risk decisioning
Own model deployment infrastructure including registry and versioning
Implement model observability and drift detection for production services

Skills

About Mercury

mercury.com

Headquarters

San Francisco, California, United States

Company Size

501-1000 employees

Founded

2017

View Profile

Mercury is a fintech bank built for startups and tech-forward businesses, offering business checking and savings, cash management, virtual and physical cards, and integrated payments. It emphasizes an API-first platform and developer-friendly tools for automation, payouts, and treasury workflows, plus integrations with accounting and treasury software. Mercury operates through partner banks to provide FDIC-insured accounts and adds features like team controls, compliance tooling, and venture-focused services that appeal to fast-growing companies.