Staff Applied Scientist building production ML systems for Samsara’s IoT - connected hardware supply chain. Forecasting demand, optimizing inventory, and modeling supplier risk.
About the role
- Senior Applied Scientist developing fault-detection and predictive-maintenance ML for MaintainX’s industrial work-execution platform. Analyzing vibration and time-series data to improve asset intelligence.
Responsibilities
- Design, develop and optimize machine learning models for fault detection and classification end-to-end
- Perform EDA on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
- Conduct experiments and evaluate algorithms for time-series modeling, signal processing, and statistical methods
- Partner with PMs in product feature discovery and roadmap prioritization by validating product hypotheses, designing success metrics and quantifying end user impact
- Collaborate with domain experts to validate findings and ensure alignment with real-world applications
- Engage with peers to challenge the status quo, improve shared ways of working, and influence architecture decisions
- Perform on-call duties
Requirements
- 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
- 5+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
- Strong foundational knowledge in machine learning, data science, and statistics
- Familiarity with time-series modeling techniques and feature engineering
- Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation
- Expert level of English, both spoken and written, is required
- 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
Benefits
- Equity
- Annual bonus
- Health coverage, retirement and leave plans (benefits differ by country)
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