Job Title

Senior Applied Machine Learning Engineer Asset Intelligence Join to apply for the Senior Applied Machine Learning Engineer Asset Intelligence role at MaintainX. MaintainX is the worlds leading mobilefirst Asset and Work Intelligence platform for industrial and frontline environments. Were a modern, IoTenabled, cloudbased solution that powers maintenance, safety, and operations on physical equipment and facilities. We help 12,000+ organizationsincluding Duracell, Univar Solutions, Titan America, McDonalds, Brenntag, Cintas, Xylem, and Shellachieve 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, were investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operatepredicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives. Youll combine deep ML expertise with strong software engineering and leadership skillsmentoring engineers, scaling systems, and driving the roadmap for AIenabled maintenance intelligence across thousands of industrial sites. This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainXs predictive and generative AI strategy. What Youll Do Lead technical direction for predictive maintenance, anomaly detection, and LLMpowered intelligence across MaintainX products. Architect endtoend ML systemsfrom data ingestion and feature engineering to model training, deployment, and monitoring. Mentor a growing team of ML and data engineers, instilling best practices for experimentation, evaluation, and model lifecycle management. Partner with product and engineering leaders to align AI roadmap with customer needs and business goals. Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining. Drive performance optimization through techniques like quantization, distillation, and scalable inference serving. Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence. Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security. About You 7+ years of experience in Machine Learning, Data Science, or Applied AI. Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar). Proven experience deploying production ML systemsnot just prototypesat scale. Strong background in LLMs, timeseries modeling, and anomaly detection for realworld data. Demonstrated ability to lead architectural decisions, mentor engineers, and collaborate across product, data, and platform teams. Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker). Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred. Bonus Skills Experience with OCR for extracting structured data from documents. Background in timeseries modeling for predictive maintenance and anomaly detection. Familiarity with Industrial IoT systems (sensors, telemetry, edge computing). Experience applying reinforcement learning or agentic architectures for decisionmaking and control systems. Contributions to opensource ML frameworks or research in reliability, explainability, or digital twins. Whats In It For You Competitive salary and meaningful equity opportunities. Healthcare, dental, and vision coverage. 401(k) / RRSP enrollment program. Take what you need PTO. A high impact culture: Youll work with Smart, Humble Optimists across the globe; meritocratic environment where ideas and outcomes are publicly celebrated. About Us We exist to make the lives of frontline and maintenance teams easier by building software that meets their realworld needs. Our product transforms how 80% of the global workforcethose who dont sit behind a deskmanage 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. #J-18808-Ljbffr