Arlo
Senior ML Infrastructure Engineer
New York City · Senior
Sponsorship not specified$180k-$230kDetected 54 days ago
PythonSQLDatabricksAWSMachine LearningSparkData ScienceDesign SystemsCommunicationCollaborationActuarial ScienceUnderwriting
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.
Responsibilities
- To give you a sense of the impact you'll have, here are some initial projects you could own:
- Underwriting Pipeline & API: Own and improve the pipelines and API that sit at the core of Arlo's underwriting engine.
- Claims Ingestion & Enrichment Logic: Build and maintain the ingestion pipelines that bring third-party claims data into our platform.
- You'll design systems that handle messy, real-world claims data at scale and make it usable for downstream analytics, underwriting, and operations.
- Company-Wide Data Foundations: Architect and build the data infrastructure that powers operational workflows across the business - quoting portal, cost containment, member engagement - and extend it to non-underwriting teams, including sales ops, finance, and clinical.
- 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.
- middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care.
- Own and improve the pipelines and API that sit at the core of Arlo's underwriting engine.
- We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves.
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).
- Experience supporting data science or actuarial teams in production environments.
Skills
- Arlo is an equal opportunity employer.
- 🔒 Your safety matters to us.
Compensation
- $180,000 - $230,000 + equity
Benefits
- Prior experience in a regulated space like healthcare or insurance.
- Instead of optimizing ads or cutting labor costs, you'll use AI to fundamentally reimagine how people get healthcare.
Company info
- Architect and build the data infrastructure that powers operational workflows across the business - quoting portal, cost containment, member engagement - and extend it to non-underwriting teams, including sales ops, finance, and clinical.
- 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.
This listing is sourced directly from Arlo's careers page and normalized into a canonical job model.