Senior Applied Machine Learning Engineer, Asset Intelligence

MaintainX

Senior Applied Machine Learning Engineer at MaintainX focusing on predictive maintenance and asset intelligence. Leading technical direction and mentoring engineers in ML system architecture and implementation.

Posted 6/2/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDockerKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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:
You’ll work with Smart, Humble Optimists across the globe.
Meritocratic environment where ideas and outcomes are publicly celebrated.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningData ScienceApplied AIPythonPyTorchTensorFlowLLMstime-series modelinganomaly detectionMLOps

Soft Skills

leadershipmentoringcollaborationcommunicationarchitectural decision-making

Certifications

MS in Computer SciencePhD in Machine Learning