Senior ML Scientist, Predictive Maintenance

Senior ML Scientist, Predictive Maintenance

Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deploy fault-detection models for industrial assets using ML.
  • Company: Join MaintainX, now part of Autodesk, a leader in innovative tech.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on high-quality software development.
  • Why this job: Make a real impact by working on cutting-edge predictive maintenance solutions.
  • Qualifications: Experience in machine learning and strong analytical skills required.

The predicted salary is between 121500 - 148500 $ per year.

Maintain X, now part of Autodesk, seeks a senior ML engineer to design and deploy fault-detection models for industrial assets.

You will work with time-series data, vibration signals, and OT streams to produce production-ready solutions that scale across operations.

You will collaborate with product teams to validate hypotheses, define success metrics, and influence platform architecture while maintaining high standards of software quality and documentation.

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Senior ML Scientist, Predictive Maintenance employer: MaintainX (An Autodesk Company)

At MaintainX, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As part of Autodesk, our employees benefit from a robust support system that encourages professional growth and collaboration across teams. With a focus on cutting-edge technology and a culture that values every voice, we empower our Software Developers to make a meaningful impact in the mobile platform space while enjoying competitive compensation and comprehensive benefits.

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Contact Details:

MaintainX (An Autodesk Company) Recruitment Team

We think you need these skills to ace Senior ML Scientist, Predictive Maintenance

Machine Learning
Fault Detection
Time-Series Data Analysis
Vibration Signal Processing
Operational Technology (OT) Streams
Model Deployment
Collaboration with Product Teams