• Skip to primary navigation
  • Skip to main content
  • Skip to footer

Side Hustles

Side Hustles

Side Hustles For All

  • Best Side Hustles
    • All Side Hustle Ideas The best ideas for earning money on the side today.
      • Writing & Editing
        • Make money writing
        • Make money blogging
        • Become a freelance writer
      • Educational Work
        • Find online tutoring jobs
        • Become a substitute teacher
        • Become an ESL teacher
      • Office & Clerical Work
        • Become a virtual assistant
        • Become a transcriptionist
        • 7 Places to Find Remote Data Entry Jobs You Can Do from Home
      • Caregiving & Domestic Work
        • How to Become a Babysitter with No Experience
      • Dog Walking & Pet Sitting
        • 7 Best Dog Walking Apps for Making Money
        • How to Become a Dog Walker
        • 9 Best Apps for Pet Sitters in 2025
      • Rideshare & Delivery
        • How to Meet Uber’s Requirements and Sign Up as a Driver in 11 Steps
        • How to Become an Uber Eats Delivery Driver
        • How to Make More Money Driving for Uber and Lyft
    • Best Side Hustle Apps The best apps to download and start earning quickly.
      • Writing & Editing
        • ClearVoice Review
        • WriterAccess Review
        • Zerys Review
      • Rideshare & Delivery
        • Uber (Driver) Review
        • Lyft Review
        • Uber Eats Review
      • Caregiving & Babysitting
        • UrbanSitter Review
        • Bambino App Review
        • Sittercity Review
      • Education & Tutoring
        • Cambly Tutor Review
        • Outschool Review
        • Udemy Review
      • Dog Walking & Pet Sitting
        • Rover App Review
        • Wag! App Review
        • Care.com Review
      • Microtasking / Survey Taking
        • InboxDollars Review
        • Swagbucks Review
        • MyPoints Review
    • For Your Lifestyle No matter who you are, there’s a perfect side hustle for you.
      • Life Situation
        • I’m a woman
        • I’m a man
        • We’re a couple
        • I’m disabled
        • I’m introverted
        • I’m unique!
        • I’m a formerly incarcerated person
        • I’m a stay-at-home mom
        • I’m pregnant
        • I’m a single mom
      • Age Group
        • Teens
        • College Students
        • Age 50+
        • Seniors
      • Skills & Interests
        • Get Paid to Do Nothing
        • Get Paid to Lose Weight
        • Get Paid to Play Games
        • Get Paid to Read
        • Get Paid to Sleep
        • Get Paid to Travel
    • For Your Profession Find a side hustle related to your profession.
      • Profession (A-B)
        • Accountants
        • Actors
        • Artists & Creatives
      • Profession (C-F)
        • Chefs
        • Engineers
        • Finance Professionals
      • Profession (G-N)
        • Graduate Students
        • Lawyers
        • Librarians
        • Musicians
        • Nurses
      • Profession (O-Q)
        • Pastors
        • Pharmacists
        • Physicians
        • Pilots
        • Project Managers
      • Profession (R-Z)
        • Real Estate Agents
        • Scientists
        • Social Workers
        • Software Engineers
        • Teachers
  • Learn to Hustle
    • Find Your Hustle
      • Side Hustle Basics
        • How to Start a Successful Photography Side Hustle
        • How to Become a Virtual Assistant
        • View All
      • Find a Job
        • 7 Places to Find Remote Data Entry Jobs You Can Do from Home
        • How to Get Paid for Proofreading & Find Online Jobs
        • How to Teach English Online: 12 Best Online English Teaching Platforms
        • View All
      • App Reviews
        • Swagbucks Review: Is It Worth Trying?
        • Branded Surveys Review: Is It Worth Trying?
        • Uber Eats Review: Is Delivering for Uber Eats Worth It in 2025?
    • Boost Your Hustle
      • Maximize Earnings
        • 10 Ways to Make Money as a Photographer
        • How to Make More Money Driving for Uber and Lyft
        • 7 Best Ways to Make Money Writing
        • View All
      • Manage Your Money
        • 8 Tips on How to Afford Living Alone
        • How Much Money Do You Need to Invest in Stocks?
        • View All
  • Side Hustle Job Board
    • Side Hustle Jobs
      • By Work Environment
        • Remote Side Hustle Jobs
        • Hybrid Remote Side Hustle Jobs
        • On-Site Side Hustle Jobs
      • By Work Schedule
        • Part-Time Jobs
        • Per-diem Jobs
        • Freelance Jobs
        • Contract Jobs
        • Temporary Jobs
        • Internship Jobs
  • Side Hustle Quiz

Home Side Hustle Jobs Machine Learning Engineer, Predictive Maintenance

Salary Unstated

Machine Learning Engineer, Predictive Maintenance

Apply Now
Full-time Remote 3d ago

Location:

US

Company:

AssetWatch provides global manufacturers with condition monitoring solutions aimed at enhancing manufacturing uptime.

Summary:

The Machine Learning Engineer will design, implement, and optimize models for predictive maintenance using sensor data. A Master's or Ph.D. in a related field and strong programming skills in Python are required.

Requirements:

Credentials: Master’s or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science/Engineering, or a related field.

Job Description:

We are seeking a skilled Machine Learning Engineer with a strong background in signal processing and predictive maintenance. In this role, you will design, implement, and optimize models that leverage sensor data to detect anomalies, classify defects, predict equipment failures, and enhance overall reliability. You will work with cross-functional teams, including reliability engineers and MLOps, to deliver impactful solutions that keep critical systems running at peak efficiency.

This role is open to candidates based in the United States. We are currently unable to provide sponsorship of any kind. 

What You'll Do:

  • Predictive Maintenance & Signal Processing
    • Perform robust data preprocessing, including filtering, cleaning, and transformation to ensure high-quality inputs for model development.
    • Employ frequency-domain and time-domain techniques to extract vital features from sensor signals.
    • Combine analytical techniques with in-depth expertise to transform raw sensor data into actionable insights, guiding maintenance decisions and enhancing machinery performance.
    • Explore novel algorithms to improve feature engineering and enhance model performance.
    • Work closely with condition monitoring engineers to refine predictive maintenance solutions
  • Model Development & Deployment
    • Develop and refine machine learning models—ranging from classical algorithms to advanced deep learning approaches—to detect anomalies, diagnose issues, and predict failures.
    • Optimize model efficiency for real-world deployment, ensuring robust performance in operational environments.
    • Collaborate with MLOps and engineering teams to integrate models into production, ensuring scalability and reliability.
    • Continuously assess model performance, conduct experiments and iterative improvements to ensure models are robust and tailored to various industrial use cases.
    • Create dashboards and alerts that provide actionable intelligence to stakeholders.
  • Collaboration & Knowledge Sharing
    • Communicate technical concepts and findings to diverse audiences, including operations, management, and technical peers.
    • Maintain thorough documentation of data processing pipelines, model architectures, and solution designs.
    • Contribute to an environment of continuous learning and best-practice sharing.

Who You Are:

  • Educational Background
    • Master’s or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science/Engineering, or a related field.
  • Technical Expertise
    • Programming: Strong programming skills in Python (preferred), with proficiency in ML libraries like TensorFlow, or PyTorch.
    • Signal Processing: Solid grasp of time-series analysis and feature extraction methods (e.g., time domain analysis, spectral analysis, envelope analysis, wavelet analysis).
    • Machine Learning: Experience building models for anomaly detection, classification, or time-series forecasting.
    • Deployment & Data Management: Familiarity with cloud platforms (AWS, Azure), containerization (Docker), and SQL databases.
  • Domain Knowledge
    • Proven experience in vibration analysis and fault detection of industrial systems and equipment (e.g., rotating machinery such as pumps, gearboxes, or electric motors).
  • Soft Skills
    • Strong communication and presentation abilities, enabling effective collaboration across diverse teams.
    • Demonstrated problem-solving skills and proactive thinking in addressing complex industrial challenges.
    • A collaborative mindset with a willingness to share knowledge and support team members.

What We Offer: 

AssetWatch is a remote-first rapidly growing startup providing a game changing condition monitoring platform and mobile experience in the industrial manufacturing space. 

  • Competitive compensation package including share options. 
  • Flexible work schedule 
  • Competitive benefits and 401K match
  • Opportunity to make a real impact every day 
  • Opportunity to work with an exciting and growing team 
  • Unlimited PTO 

We have a distributed team that works remotely across locations in the United States. We are open to candidates from most states but collaboration within core working hours is required. 

Apply Now

Footer

sidehustles.com
Facebook Twitter Instagram LinkedIn Reddit TikTok YouTube

Your Side Hustle Story

  • Side Hustle Basics
  • Side Hustle Job Board (Remote & Part-Time Jobs)
  • App Reviews
  • Find a Job
  • Manage Your Money
  • The Gig Apple: News & Events

Company

  • About Us
  • Contact Us
  • Become a Contributor
  • Advertising & Sponsorships
  • Partner With Us
  • Editorial Guidelines

Side Hustles © All rights reserved

  • Privacy Policy
  • Terms of Service

Sign In to Your Account

Your comment will be approved faster if you sign up or create an account. We value real reviews from real people.

Create Your Account

We will never, ever spam you.

By signing up, you indicate that you have read and agree to our Terms of Service and Privacy Policy.

Forgot Password

New Password