Sr. Machine Learning Engineer, Predictive Maintenance

AssetWatch, Inc.(6 days ago)

RemoteFull TimeSenior$85,981 - $118,156 (estimated)Engineering

About this role

A Senior Machine Learning Engineer at AssetWatch advances predictive maintenance for industrial systems by building interpretable, production-grade machine learning solutions. The role emphasizes deep domain expertise in vibration analysis and condition monitoring to improve asset uptime and reliability. The position is a senior individual contributor role that helps set technical standards and works with cross-functional teams to deliver robust industrial solutions.

View Original Listing

Required Skills

Machine Learning
Signal Processing
Time Series
Feature Engineering
Vibration Analysis
Anomaly Detection
Fault Detection
Model Deployment
MLOps
Python

+6 more

Qualifications

Master's in Mechanical Engineering, Electrical Engineering, Computer Science, or related field
Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science, or related field
Equivalent industry experience considered

About AssetWatch, Inc.

assetwatch.com

AssetWatch is an industrial condition‑monitoring platform that helps manufacturers protect assets and prevent unplanned downtime. Combining sensors, data collection, and AI-driven analytics, it turns raw signals into prescriptive insights and recommended actions to build a reliability program that scales across plants. The platform is designed for plant operators and maintenance teams who need faster detection, prioritized remediation, and measurable reductions in failures and downtime.