Arlo
Senior ML Engineer
$180K–$230K
New York City · On-site · Senior · Full-time · Posted May 28, 2026
About the job
Build and own the machine-learning infrastructure for health insurance underwriting, real-time quoting, and data science experimentation.
What you'll do
- Develop reliable, reproducible, scalable model-training infrastructure and low-latency quote-serving APIs.
- Build backtesting, validation, and experimentation tools to help data scientists and actuaries iterate faster.
- Own production systems end-to-end, including reliability, scalability, monitoring, SLAs, and on-call.
What they ask for
- Strong track record building production ML or data infrastructure at scale.
- Deep proficiency in Python and experience processing large datasets using Spark, Databricks, or equivalent.
- Experience with production model-training pipelines and/or low-latency model serving.
- Experience building tools for feature testing, experiment tracking, backtesting, or similar; ability to own and operate production systems.
Nice to have
- Prior experience in a regulated field such as healthcare or insurance.
- Experience with MLOps tooling, feature stores, experimentation platforms, or supporting data science or actuarial teams.
Pay
$180,000 – $230,000 USD base salary
Tools
Python, Spark, Databricks, MLflow
AI focus
Build ML infrastructure for underwriting and real-time quotes, and support experimentation and evaluation of models used in health insurance.
Model-written summary · the original posting is authoritative