MaintainX · 2 weeks ago
Senior Applied Machine Learning Engineer - Asset Intelligence
United States
Full-time
Remote
Senior Level
7+ years expMaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. The Senior Applied Machine Learning Engineer will guide the technical direction and architecture of Predictive Maintenance and Asset Intelligence initiatives, combining deep ML expertise with software engineering and leadership skills to drive AI-enabled maintenance intelligence across industrial sites.
Artificial Intelligence (AI)Asset ManagementB2BInformation TechnologyMobileSaaS
Responsibilities
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
Qualification
Required
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)
Preferred
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field
Experience with OCR for extracting structured data from documents
Background in time-series modeling for predictive maintenance and anomaly detection
Familiarity with Industrial IoT systems (sensors, telemetry, edge computing)
Experience applying reinforcement learning or agentic architectures for decision-making and control systems
Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins
Benefits
Healthcare, dental, and vision coverage.
401(k) / RRSP enrollment program.
Take what you need PTO.
Company
MaintainX
MaintainX provides a CMMS/EAM platform that streamlines maintenance, work orders, and asset management for industrial and frontline teams.
501-1000 employees
H1B Sponsorship
MaintainX has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2022 (1)
Funding
Current Stage
Late StageTotal Funding
$253.8MKey Investors
Bessemer Venture PartnersBain Capital Ventures
2025-07-09Series D· $150M
2023-12-06Series C· $50M
2021-06-09Series B· $39M
Leadership Team
Chris Turlica
CEO & Founder
Hugo Dozois-Caouette
Co-Founder and CTO
Recent News
2025-12-08
Washington Technology
2025-11-23
Company data provided by crunchbase