Description
Arlo is hiring an ML Engineer to build and own the machine-learning infrastructure powering its underwriting and real-time quoting systems. The role covers scalable model-training pipelines, low-latency inference against large claims datasets, and tooling for data scientists and actuaries to test and validate models. Candidates should have production-scale ML infrastructure experience, strong Python skills, experience with large-data platforms, and familiarity with model-serving or experimentation tooling. The position offers $180,000–$230,000 plus equity.
