AssetWatch, Inc.
AssetWatch is seeking an experienced Machine Learning Engineer with a specialized background in Signal Processing and Predictive Maintenance to develop and implement algorithms for diagnosing and predicting machinery faults. The role involves extracting diagnostic features from IIoT sensors, designing end-to-end ML solutions on AWS, and collaborating with MLOps and Data Engineering teams to deploy production-ready models. This hands-on position requires expertise in deep learning, anomaly detection, and large-scale data processing to enhance industrial condition monitoring.
Headquarters
Westerville, Ohio, United States
Company Size
51-200 employees
Founded
2014
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.
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 AssetWatch, Inc..
Wilson Sonsini Advises AssetWatch on $75 Million Series C Financing
May 1, 2025
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