Senior ML Infrastructure Engineer

External

Arlo · New York City

$180K–$230K/yrFull-timeOn-site1d ago

AWSCore DataDesign SystemsGitPySparkPython

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About the role

As a Senior ML Infrastructure Engineer, you will own the data infrastructure that powers our underwriting, claims, and operational workflows, translating complex business logic into reliable, scalable pipelines that the entire company depends on. Own our data infrastructure and the core data platform pipelines that drive underwriting and claims. Partner with data scientists and actuaries to turn business logic into production code, owning the underwriting pipeline end-to-end. Set the standards for how we build, monitor, and operate data systems - establishing SLAs, on-call practices, and monitoring that the team relies on.

Requirements

This role is a great fit if you are an engineer who takes pride in writing high-quality, maintainable code and is energized by owning data systems end-to-end.

A strong track record of building scalable data systems and pipelines in production, with deep proficiency in Spark, Databricks, and modern data processing infrastructure (AWS or equivalent).

Fluency across our stack: SQL, PySpark, Python, and Git. You write maintainable code and hold a high bar for code quality on your team.

The ability to own workstreams end-to-end with minimal oversight. You make sound judgment calls independently, flag the right risks, and make the people around you better through standards, reviews, and process improvements.

Strong communication skills and a highly analytical mindset. You can work with non-technical partners - actuaries, ops, clinical - to turn requirements into action, and you test and analyze your own work before it ships.

Prior experience in a regulated space like healthcare or insurance.

Experience supporting data science or actuarial teams in production environments.

Target Compensation

$180,000 - $230,000 + equity

Why Join Arlo:

High ownership: You'll get real responsibility from day one-our high-trust team empowers you to run with big problems and shape core parts of the company.

Join an important mission: Your work directly influences how people access care and improves lives at scale.

Growth & expansion: We're moving fast, and as we grow, your scope will grow with us-new challenges, bigger opportunities, and rapid career velocity.

Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you'll use AI to fundamentally reimagine how people get healthcare.

High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition.

Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the intervie

Senior ML Infrastructure Engineer

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