Senior Applied Machine Learning Engineer – Asset Intelligence

November 20

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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MaintainX

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MaintainX is the world-leading mobile-first workflow management platform for industrial and frontline workers. We are a modern IoT-enabled cloud-based tool for maintenance, safety, and operations on equipment and facilities.

51 - 200 employees

📋 Description

• 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 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.

🎯 Requirements

• 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 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.

🏖️ Benefits

• Healthcare, dental, and vision coverage. • 401(k) / RRSP enrollment program. • Take what you need PTO. • Competitive salary and meaningful equity opportunities. • A high impact Culture: You’ll work with Smart, Humble Optimists across the globe. • Meritocratic environment where ideas and outcomes are publicly celebrated.