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A leading IoT-enabled software company in Toronto is seeking a Machine Learning Engineer specializing in Predictive Maintenance. You will develop and train machine learning models for fault detection, analyze time-series data, and collaborate with experts to optimize real-world applications. The ideal candidate has a master’s or Ph.D. in a relevant field and experience in machine learning tools. This position offers a competitive salary and comprehensive benefits.
MaintainX is the world’s leading mobile‑first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT‑enabled, cloud‑based solution that powers maintenance, safety, and operations on physical equipment and facilities.
We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.
Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.
As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.
We exist to make the lives of frontline and maintenance teams easier by building software that meets their real‑world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.