Geophysics ML Engineer, Early Stage Project, X

Key Skills

High performance computing- HPC, JAX framework, Keras software library, Machine learning techniques, NumPy, Pandas, Python Programming, SciPy, Signal processing, TensorFlow

Job Description

We are an early stage team at X with a growing, interdisciplinary portfolio. To prove our path to the moon, we make early contact with the real world through both internal and external partnerships. Our climate-focused project at X is hiring a geophysics machine learning engineer, who will work on defining and executing a set of geophysics computational and machine learning experiments.

The Role:

In this role, you will be a part of the early stage dynamic project working on a full range of computational geophysics tasks - from prototyping to building full-scale solutions. As a member of the team, you have a deep passion for problem solving and experimentation.

This is a dynamic role and requires high cross-functional communication, organization, and planning. The ideal candidate is a self-starter and has a track record of effectively operating in a dynamic loosely structured environment (e.g., startup, new product within Google).

How you will make 10x impact:

• Resident geophysicist on the team: define ML experiments, perform data reviews
• Integrate latest research into applied projects.
• Get your hands dirty! Identify, design, and implement a set of experiments and prototypes to rapidly de-risk projects.
• Set the direction for the engineering team implementing the experiments, and act as mentor to the team on geophysics.
• Serve as the geophysics expert in communications with partners.
• Have fun!

What you should have:

• MS degree and 5 years experience, PhD degree or equivalent practical experience.
• Experience building ML models on geophysical data (seismic surveys, gravity/mag, well logs, documents, …).
• Python proficiency.
• Experience with ML frameworks: TensorFlow/Keras/JAX. Experience with Python packages: Numpy, Scipy, Pandas.
• Self-starter - can make progress independently.
• Strong communication skills.

It would be great if you also had these:

• Ability to think both strategically and tactically about complex initiatives to guide a variety of moving pieces towards execution.
• Ability to influence without authority.
• Motivated by making the world a better place through technology.
• Field and/or industry geophysics experience.
• Signal processing experience with seismic and/or DAS
• Large scale optimization/inversion experience
• High performance computing (HPC) experience.
• GCP experience.

The US base salary range for this full-time position is $161,000 - $250,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.