Senior Applied Scientist, ML Predictive Maintenance (Asset Intelligence)

The role

You will design, develop, and optimize machine learning models for fault detection and classification. You will perform EDA on vibration, OT, and time-series data and partner with PMs on product feature discovery.

What you will do

• Design, develop and optimize machine learning models for fault detection and classification end-to-end
• Perform EDA on vibration, OT and time-series data
• Conduct experiments and evaluation of various algorithms on time-series modeling, signal processing, and statistical methods
• Partner with PMs in product feature discovery and roadmap prioritization
• Collaborate with domain experts to validate findings
• Engage with your community of peers to influence overall architecture decisions
• On-call duties

Required qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on condition monitoring or machine learning applications
• 5+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
• Strong foundational knowledge in machine learning, data science, and statistics
• Familiarity with time-series modeling techniques and feature engineering
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation
• An expert level of English, both spoken and written

Nice to have

• Hands-on experience developing models for OT and vibration analysis, condition monitoring, and fault detection or classification
• Familiarity with signal processing techniques (e.g., Fourier transforms, wavelet analysis) and their application to OT and vibration data

About the company

MaintainX is a mobile-first work execution platform for industrial and frontline teams. In August 2026 MaintainX became part of Autodesk.