About the job
At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities.
We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale.
Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion.
As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure.
The Role
We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives.
You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites.
This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy.
Key Responsibilities:
- Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products.
- Design end-to-end ML systems, from data ingestion and feature engineering to model training, deployment, and monitoring.
- Mentor a growing team of ML and data engineers, instilling best practices in experimentation, evaluation, and model lifecycle management.
- Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.

