Senior Machine Learning Engineer at Omen AI

As the first senior ML engineer, you will own the end-to-end pipeline for Omen AI’s predictive maintenance models. You will move between low-level signal processing of sensor data and high-level architectural decisions, developing physics-based models to detect biological growth and chemical degradation in complex fluid systems for global industrial giants.

• Refine and mature validated predictive models for industrial fluids to enhance pattern recognition for contaminants and component wear indicators.
• Architect new predictive models for novel fluid systems focusing on health indicators like biological growth and chemical stability threats.
• Collaborate with the hardware team to optimize sensor geometry based on data-driven indicators of potential industrial equipment failure.

• 5+ years of ML Engineering experience, with deep expertise in signal processing and feature extraction from complex IoT sensor data.
• Advanced proficiency in Python for high-performance computing, time series analysis, anomaly detection, and unsupervised clustering techniques.
• High-agency mindset comfortable with in-office collaboration 5 days a week in San Francisco and moving fast in a seed-stage environment.

• True technical ownership as the first senior ML hire, shaping the entire machine learning function and architectural strategy from the ground up.
• Deep market traction with six $2B+ revenue enterprise customers and $13.7M in funding from premier investors like CRV.
• High-impact work preventing real-world failures in critical infrastructure, using cutting-edge physics-based modeling and unsupervised learning on proprietary sensor data.