[Remote] Senior Applied Machine Learning Engineer - Asset Intelligence at MaintainX

San Francisco, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

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

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

Skills

MaintainX

SaaS platform for maintenance management

About MaintainX

MaintainX provides a digital platform designed for maintenance and operations management, primarily targeting industrial clients in sectors like manufacturing and food and beverage. The platform operates as a software-as-a-service (SaaS) solution, enabling businesses to track both reactive maintenance, which addresses issues as they arise, and preventive maintenance, which involves regular checks to avoid problems. MaintainX enhances operational efficiency by incorporating artificial intelligence for tasks such as real-time inventory management and asset management. Unlike many competitors, MaintainX offers an open API for easy integration with existing systems and provides educational resources through its Academy to help clients fully utilize the platform. The company's goal is to drive digital transformation in maintenance and operations, improving productivity and reducing manual work for its users.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$90.3MTotal Funding

SERIES_CCompany Stage

Industrial & Manufacturing, Enterprise Software, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Company Equity

Stock Options

Risks

Emerging startups with similar SaaS solutions could erode MaintainX's market share.

Rapid technological advancements may strain MaintainX's resources to stay competitive.

Economic downturns in key industries could reduce spending on maintenance software.

Differentiation

MaintainX offers a comprehensive IoT-enabled maintenance platform for industrial teams.

The platform integrates AI to enhance predictive maintenance and operational efficiency.

MaintainX provides an open API for seamless integration with existing business systems.

Upsides

MaintainX raised $50M in Series C funding, boosting its growth potential.

The trend towards predictive maintenance aligns with MaintainX's AI-powered features.

Increased IoT adoption in industries drives demand for MaintainX's solutions.

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