ML Engineer — Time Series & Statistical Methods
Listed on 2026-10-12
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Engineering
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IT/Tech
Machine Learning/ ML Engineer
Nominal is seeking a Staff Machine Learning Engineer, Time Series & Statistical Methods to empower our agents with robust numerical tools for hardware data analysis. You will bridge classical methods and deep learning to handle high-rate telemetry and test campaigns.
You will define ML direction, collaborate with evals, and raise the bar for engineering as we scale across aerospace, automotive, and defense programs. Seattle on-site role with strong compensation and benefits.
Step into the Staff ML Engineer — Time Series & Statistical Methods role at Nominal in Seattle, WA, United States and grow with us.
The position is based in Seattle, WA, United States.
This opportunity is part of our work in IT & Technology, Engineering.
The advertised compensation is 180..
We aim to respond to suitable candidates as soon as possible.
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