Senior ML Infra Engineer - Equity & High-Impact Data

Arlo; New York (NY); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

High ownership

Direct influence on healthcare access

Growth and expansion opportunities

AI application to healthcare

Collaborative work environment

Job summary

Arlo is seeking a Senior ML Infrastructure Engineer in New York City to own and enhance data infrastructure underpinning underwriting and claims. This role involves translating complex business logic into scalable and reliable pipelines, collaborating closely with data scientists and actuaries.

The ideal candidate will have a proven track record in building scalable data systems, with expertise in tools like Spark and Databricks, and possess strong analytical and communication skills. A passion for improving healthcare is essential.

Qualifications

• Strong track record of building scalable data systems and pipelines in production.
• Fluency across our stack: SQL, PySpark, Python, and Git.
• Ability to own workstreams end-to-end with minimal oversight.
• Strong communication skills and highly analytical mindset.

Responsibilities

• Own our data infrastructure and core data platform pipelines.
• Partner with data scientists and actuaries to translate business logic.
• Set standards for building, monitoring, and operating data systems.
• Architect and build data infrastructure for operational workflows.

Skills

Spark

Databricks

SQL

PySpark

Python

Git

Job description

Arlo is seeking a Senior ML Infrastructure Engineer in New York City to own and enhance data infrastructure underpinning underwriting and claims. This role involves translating complex business logic into scalable and reliable pipelines, collaborating closely with data scientists and actuaries.

The ideal candidate will have a proven track record in building scalable data systems, with expertise in tools like Spark and Databricks, and possess strong analytical and communication skills. A passion for improving healthcare is essential.