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Senior Machine Learning Engineer

Seattle, WA💼 Full-time💰 $187,440–$187,440🗓 2026-09-30 → 2026-10-01

Core

Building and operating production ML infrastructure (feature stores, model serving, monitoring) to enable data teams to build and deploy models responsibly.

Role type

Senior IC Machine Learning Engineer (MLOps/Infrastructure)

Builds

Shared feature store, drift monitoring systems, consolidated model deployment pipelines

Domain

FinTech / Consumer Finance / MLOps

Deliverable

infrastructure

Required skills

Python, AWS, Databricks, MLOps tooling, feature store design, model serving, drift monitoring, system architecture, cross-functional collaboration

Preferred skills

Experience building infrastructure from scratch, autonomy in tool selection, scientific rigor in engineering decisions

Technologies

Python, AWS, Databricks

Responsibilities

Design and roll out a shared feature store for safe experimentation; implement drift monitoring to catch model degradation; consolidate deployment tooling into a reliable pipeline; establish processes and standards for the ML function

Seniority

Senior, hands-on IC

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