Job Opportunities API

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-cloud-100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. 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. THE ROLE We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives. You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled 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 MaintainX’s predictive and generative AI strategy. What you’ll do: - Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products. - Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring. - Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management. - Partner with product and software development 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 systems—not just prototypes—at scale. - Strong background in LLMs, time-series modeling, and anomaly detection for real-world data. - Demonstrated ability to lead architectural decisions, mentor developers, 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 dat