Machine Learning Engineer
Arlo · New York, NY
Match pending Onsite Posted 2026-10-19
Salary range sourced from Levels.fyi, Pave, and Synaxia placement history · Company intel: Crunchbase · StackShare · BuiltWith
About the role
This is a Machine Learning Engineer opportunity with a Seed stage New York company. You’ll build and ship ML models. You’ll work with Python, Spark, Databricks and MLflow. The ideal candidate will have ML engineering experience. The role is on-site in New York. We're looking for someone curious, pragmatic, and eager to work across the stack with a small senior team. You'll own end-to-end delivery of major features, influence architecture, and mentor engineers.
What you'll do
- Ship customer-facing features on a weekly cadence.
- Partner with design and product on scoping and trade-offs.
- Drive technical quality through review, testing, and docs.
- Mentor one or two engineers on your team.
Requirements
PythonSparkDatabricksMLflow
Hiring process
- Application review · 2 days
- Recruiter screen · 30 min
- Technical interview · 90 min
- Onsite loop · 3–4 hours
- Offer
Company
A
Arlo
Team not listed · — applicants
Mission-driven team building for a global audience. Remote-first, async-leaning, ships twice a week.
Why you'd fit
- Your top skills match 4/5 requirements
- Salary range matches your preferences
- Location match: New York, NY
- Add 2 more healthcare projects to your profile to lift your match score