Staff Machine Learning Engineer, Time Series & Statistical Methods
Nominal
- Experience
- 8+ yrs
- Location
- New York City or Los Angeles or London or Austin or San Francisco or Seattle
- Job type
- Full-time
About the role
8+ years applied ML or statistics with production time-series or sensor data; deep classical grounding in statistics, signal processing, anomaly detection, forecasting; hands-on deep learning; strong software engineering; ITAR compliance (US citizen, permanent resident, refugee, or asylee).
About Nominal
Nominal is a private software company providing hardware test, operations, and data infrastructure to engineering teams.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.