GrepJob
Arlo

Senior ML Infrastructure Engineer

Arlo
Apply
about 2 hours ago

Base Salary

$180k - $230k/yr

Responsibilities

  • Own the data infrastructure and core data platform pipelines for underwriting and claims.
  • Collaborate with data scientists and actuaries to translate business logic into production code.
  • Establish standards for building, monitoring, and operating data systems.
  • Improve the underwriting pipeline and API for Arlo's underwriting engine.
  • Build and maintain ingestion pipelines for third-party claims data.
  • Architect and build data infrastructure for operational workflows across the business.

Requirements

  • Proven experience in building scalable data systems and pipelines in production.
  • Deep proficiency in Spark, Databricks, and modern data processing infrastructure (AWS or equivalent).
  • Fluency in SQL, PySpark, Python, and Git.
  • Ability to manage workstreams end-to-end with minimal oversight.
  • Strong communication skills and an analytical mindset.

Benefits

  • High ownership and responsibility from day one.
  • Opportunity to influence healthcare access and improve lives.
  • Growth and expansion opportunities as the company scales.
  • Apply AI to meaningful healthcare challenges.
  • Collaborative and fast-paced work environment.

Tech Stack

Categories

AI & MLData Engineering