AssetWatch is a leader in proactive and predictive maintenance solutions, providing a rapidly deployable, end-to-end remote condition monitoring service. Backed by G2 Venture Partners.
About the role
The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Stay updated with the latest advancements in Machine Learning, Deep Learning, Signal Processing, agentic AI, and industrial condition monitoring, ensuring our solutions remain at the forefront of the industry
- Present findings, model performance, strategies, tradeoffs, and solutions to other teams and stakeholders in a clear and concise manner, ensuring that insights drive actionable outcomes
- Master's or Ph.D. in Mechanical Engineering, Electrical Engineering, Computer Science/Engineering, or a related field
- Proficiency in scientific and ML/DL frameworks and libraries such as NumPy, Pandas, SciPy, scikit-learn, TensorFlow, PyTorch, or similar tools
- Working knowledge of SQL (MySQL/Aurora, Athena) and the ability to independently explore, validate, and troubleshoot large and imperfect industrial datasets
- Physics-informed ML and experience with additional modalities (electrical/current signature analysis, ultrasound, oil analysis) are a plus
More about this role
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.
JOB SUMMARY
We are seeking an experienced Machine Learning Engineer with a specialized background in Signal Processing and Predictive Maintenance. The ideal candidate will have a talent for extracting diagnostic features and fault signatures from IIoT sensors, including accelerometers, temperature sensors, and electrical signals, as well as other static and contextual machine data such as images and equipment metadata. The successful candidate will utilize this data to develop and implement algorithms tailored for the diagnosis, prognosis, anomaly detection, and health assessment of critical machinery components, including bearings, gearboxes, shafts, motors, pumps, fans, belts, and more.
This...
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