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# Staff Machine Learning Engineer, Time Series & Statistical Methods

- **Company:** Nominal Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Machine Learning, Software Engineering, Large Language Models, Deep Learning
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-machine-learning-engineer-time-series-statistical-methods-new-york-ny--b06807c1-e534-4309-9173-ffa066d8f95a

## About the Role

Machine Learning, Robotics, Computer Engineering, Testing, Artificial Intelligence (AI), Software Engineering, System Operations, Manufacturing, United States Air Force (USAF), Aerospace and Defense

## Description

As a Staff Machine Learning Engineer, Time Series & Statistical Methods, you'll give our agents real numerical tools, because LLMs alone can't reason well over millions of sensor samples, and you'll set Nominal's direction on ML for hardware data, from classical methods to deep learning., * You've built anomaly detection or forecasting that drove real operational decisions, in observability, predictive maintenance, or vehicle telemetry.

 * You've worked with telemetry from aircraft, vehicles, energy systems, or robots.
 * You've shipped ML methods as tools that other systems or agents call, not only as models.
 * You've worked with the latest models beyond text: VLMs, VLAs, multimodal transformers, or foundation models for robotics and physical systems.