Nominal
Nominal is seeking a Staff Machine Learning Engineer to develop and implement time series and statistical methods for hardware intelligence applications. The role involves building anomaly detection, forecasting, and signal processing tools to enhance AI agents' capabilities with real-world sensor data. This position requires setting the technical direction for machine learning at the company and collaborating with evaluation teams to ensure method effectiveness.
Headquarters
Los Angeles, California, United States
Company Size
11-50 employees
Founded
2022
Nominal is a unified software suite designed to help engineering teams test and operate hardware faster and with greater confidence. Its platform combines Nominal Core, an all-in-one cloud data platform for capturing and analyzing telemetry, video, logs, and simulation results, with Nominal Connect, an edge compute platform for deploying and automating hardware test applications. Nominal serves mission-critical programs across aviation, defense, space, maritime, and energy industries, enabling real-time observability, collaborative analysis, and end-to-end traceability across the hardware lifecycle.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Nominal.
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