Machine Learning and Geo-analytics (Senior)
Core
Building geophysical modelling capabilities and forward propagation models for quantum sensing applications to detect underground anomalies.
Role type
Senior Machine Learning and Geo-analytics Engineer
Builds
Geophysical models, forward propagation simulations, and surveying techniques for quantum sensors
Domain
Quantum sensing, geophysics, underground anomaly detection
Deliverable
production ML models | product features
Required skills
Python software development, numerical simulation, potential field inversion, machine learning techniques, statistical analysis (Bayesian methods), noisy data processing
Preferred skills
Masters or PhD in geophysics/mathematical modelling, Monte Carlo simulation, algorithm design for anomaly detection
Technologies
Python, Monte Carlo simulation, Bayesian methods
Responsibilities
Build forward propagated models of real-world underground systems, implement techniques for potential field inversion, design algorithms for detecting underground anomalies, analyze simulation outputs, develop applications for sensor technology, build real-world potential field models, develop efficient surveying techniques
Seniority
Senior, hands-on IC