[Remote] Machine Learning Engineer, Predictive Maintenance at MaintainX

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Industrial Technology, IoTIndustries

Requirements

Strong foundational knowledge in machine learning, data science, and statistical modeling
Familiarity with time-series modeling techniques and feature engineering
Experience in deploying machine learning models on real-world use cases and continuously improving the model performance with feedback
3+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc
Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on condition monitoring or machine learning applications
Hands-on experience developing models for OT and vibration analysis, condition monitoring, and fault detection or classification
Familiarity with signal processing techniques (e.g., Fourier transforms, wavelet analysis) and their application to OT and vibration data

Responsibilities

Develop and train machine learning models for fault detection and classification based on time-series sensor data
Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
Experiment with and evaluate various algorithms, including time-series modeling, signal processing, and statistical methods, to optimize model performance
Collaborate with domain experts to validate findings and ensure alignment with real-world applications
Document workflows, experiments, and methodologies to ensure reproducibility and knowledge sharing across the team
Participate in on-call duties

Skills

Key technologies and capabilities for this role

Machine LearningData ScienceStatistical ModelingTime-Series ModelingFeature EngineeringSignal ProcessingExploratory Data Analysis (EDA)Model DeploymentModel Performance Optimization

Questions & Answers

Common questions about this position

What compensation and benefits are offered for this role?

The position offers a competitive salary and meaningful equity opportunities, along with healthcare, dental, and vision coverage, plus 401(k)/RRSP enrollment.

Is this Machine Learning Engineer role remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Machine Learning Engineer position?

Candidates need strong foundational knowledge in machine learning, data science, and statistical modeling; familiarity with time-series modeling and feature engineering; 3+ years of programming skills in Python, PyTorch, Tensorflow; and a Master’s or Ph.D. in a relevant field.

What is the company culture like at MaintainX?

MaintainX has a high impact culture where you'll work with smart, humble optimists across the globe in a meritocratic environment that publicly celebrates ideas and outcomes.

What makes a strong candidate for this Machine Learning Engineer role?

A strong candidate has 3+ years of ML programming experience, expertise in time-series modeling, experience deploying models in real-world use cases, and an advanced degree in a relevant field; bonus for OT/vibration analysis and signal processing 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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