Senior Machine Learning Engineer
Onsite 4 days a week- Phoenix, AZ
$130-160,000 + Bonus
About the Company:
My client is developing a groundbreaking forecasting engine for nuclear equipment performance. At its core is a novel approach to interpreting historical maintenance and operations logs, turning them into intelligent diagnostics and predictive insights. The goal? Equip engineers with advanced tools that help predict and understand performance issues in high-stakes environments like power plants.
This is a research-heavy role with a lean, collaborative team, focusing on building custom neural net architectures from scratch. The work blends deep learning, diagnostics, forecasting, and multimodal data modeling.
The Role:
As a Machine Learning Engineer , you’ll play a central role in designing and building the core of this next-generation forecasting system. This is not your typical MLE position—you’ll be expected to contribute original research, prototype novel architecture s , and build foundational models to help bridge performance data with human decision-making in complex mechanical systems.
Key Responsibilities:
What You'll Need to Succeed:
Why Join This Team?
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