Terra AI

Terra AI

Staff Geophysicist

Redwood City Office · Staff+

Sponsorship not specified$185k-$250kDetected 60 days ago
PythonMachine LearningCommunication

About the role

  • By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with greater confidence and capital efficiency.
  • If your experience aligns strongly with the role, we encourage you to apply even if you do not meet every listed qualification.

Responsibilities

  • Build forward models and support geophysical interpretation workflows
  • Collaborate closely with geologists and technical stakeholders across exploration programs
  • Support the continued development of scalable geophysical modeling workflows

Requirements

  • Experience in applied or exploration geophysics
  • Strong experience with electromagnetic and/or potential field methods
  • Experience contributing to or leading geophysical modeling programs
  • Familiarity with geophysical modeling tools such as SimPEG or similar platforms
  • Experience with geophysical data QA/QC and technical reporting
  • Strong analytical or programming capabilities within Python-based environments
  • Exposure to inversion workflows, probabilistic modeling, or collaborative software development practices is considered beneficial

Compensation

  • $185,000 - $250,000 usd. + Equity
  • In accordance with California law, Terra AI provides a good faith base salary range for roles that may be performed in California.
  • Actual compensation will be determined based on experience, qualifications, skills, and market considerations.
  • In addition to base salary, total compensation may include performance bonus opportunities, equity participation, and a comprehensive benefits package.

Equal opportunity

  • Terra AI is an equal opportunity employer and is committed to building a diverse and inclusive team.

This listing is sourced directly from Terra AI's careers page and normalized into a canonical job model.