Senior Machine Learning Engineer at Omen AI

You will own the end-to-end machine learning pipeline for the diagnostic layer of global industrial infrastructure. By moving between low-level sensor signal processing and high-level physics-based modeling, you will build AI that detects biological and chemical threats in fluid systems, preventing catastrophic equipment failure for Fortune 500 enterprise customers.

• Refine existing validated predictive models for industrial fluids to enhance pattern recognition for contaminants and component wear.
• Architect novel physics-based predictive models to identify emerging threats like biological growth and chemical degradation in complex fluid systems.
• Collaborate with hardware engineers to optimize sensor geometry based on data-driven indicators of fluid health and system failure.

• 5+ years of ML Engineering experience, with deep expertise in signal processing and time series anomaly detection for sensor data.
• Proficient in Python for high-performance computing and experienced in deploying unsupervised learning models for novel failure mode identification.
• High-agency technical leader who thrives in early-stage, in-office environments and can bridge the gap between deep implementation and investor strategy.

• Lead the ML function as the first senior hire at a CRV-backed startup with $13.7M in funding and a founding team with successful exits in industrial tech.
• Work on high-stakes physical problems where your models directly prevent millions in downtime for six enterprise customers with $2B+ annual revenue.
• Benefit from a top-tier compensation package including $100k/year in equity and full-service perks like catered lunches and premium healthcare in a high-velocity SF office.