What are the responsibilities and job description for the Machine Learning Engineer, Predictive Maintenance position at AssetWatch, Inc.?
Job Description
Job Description
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.
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.
Develop and refine machine learning models—ranging from classical algorithms to advanced deep learning approaches—to detect anomalies, diagnose issues, and predict failures.
Communicate technical concepts and findings to diverse audiences, including operations, management, and technical peers.
Who You Are :
Master's or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science / Engineering, or a related field.
Programming : Strong programming skills in Python (preferred), with proficiency in ML libraries like TensorFlow, or PyTorch.
Proven experience in vibration analysis and fault detection of industrial systems and equipment (e.g., rotating machinery such as pumps, gearboxes, or electric motors).
Strong communication and presentation abilities, enabling effective collaboration across diverse teams.
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.
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.
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