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Senior ML Engineer

San Francisco, CA

Who We Are

Omen AI is building the diagnostic layer for the world’s most critical industrial infrastructure. We are looking for a Senior ML Engineer with high agency to mature our existing industrial predictive maintenance models and spearhead our expansion into new domains of complex fluid intelligence.

The Role

You will own the end-to-end ML engineering pipeline, moving between low-level signal processing of sensor data and high level architectural decisions. You will leverage and refine our existing validated predictive maintenance models for industrial fluids, while taking ownership of the adaptation and development of new physics-based predictive models to detect emerging threats, like biological growth and chemical degradation, in new fluid systems.

Core Responsibilities

  • Predictive Model Maturation: Refine existing validated predictive models for industrial fluids to enhance pattern recognition for critical contaminants and component wear indicators.
  • New Market R&D: Architect predictive models for novel fluid systems, focusing on fluid health indicators such as biological growth and chemical stability threats.
  • Hardware/Software Co-Design: Provide data driven guidance to the hardware team to optimize sensor geometry around the strongest indicators of fluid failure.
  • Mentorship: Establish engineering fundamentals and provide technical guidance for our junior Software staff.
  • Technical Communication: Bridge the gap between nitty-gritty implementation and high level strategy for investors, customers, and internal stakeholders.

Requirements

  • 5+ years in ML Engineering, ideally in early stage or high growth environments.
  • Expert-level signal processing and feature extraction on sensor data.
  • Deep experience with Python for high performance computing.
  • Expertise in time series data analysis and anomaly detection techniques.
  • Experience architecting and deploying end-to-end predictive maintenance systems.
  • Proficiency with unsupervised learning and clustering for novel failure mode identification.
  • In-office 5 days a week at our SF office.
  • High agency, judgment over tenure, and the ability to stay calm during production crises.

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