Remote Senior Software Engineer, Scientific Computing & ML

InvestedintheMission

Berkeley (CA)

On-site

USD 170,000 - 215,000

Full time

14 days+
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Job summary

KoBold Metals is seeking a Senior Software Engineer, Scientific Computing, to apply software engineering and machine learning to remote-sensing, drillhole, imaging and geophysics data for mineral exploration. You will build scalable ML systems and collaborate with data scientists and geologists to enable rapid, high-quality decisions across exploration projects.

The role emphasizes developing a modern scientific computing stack, sharing engineering best practices, and working with a

Qualifications

  • At least 5 years of experience as a software engineer, data scientist or ML engineer.
  • Proficiency with ML concepts including traditional and deep learning.
  • Experience building production-quality data processing solutions or tooling.

Responsibilities

  • Architect, implement, and maintain foundational scientific computing libraries.
  • Integrate third-party and domain-specific tooling into cohesive pipelines.
  • Build tooling to accelerate ML progress and prototyping in notebooks.
  • Debug across boundaries and ensure robust, scalable pipelines.
  • Apply and coach others in engineering best practices.
  • Collaborate with data scientists, geoscientists and engineers to modernize the stack.
  • Travel occasionally to exploration sites to observe impact and drive new tech.

Skills

Python proficiency
ML knowledge
Data processing
Collaboration

Tools

xarray
numpy
Python libraries

Job description

KoBold Metals is seeking a Senior Software Engineer, Scientific Computing, to apply software engineering and machine learning to remote-sensing, drillhole, imaging and geophysics data for mineral exploration. You will build scalable ML systems and collaborate with data scientists and geologists to enable rapid, high-quality decisions across exploration projects.

The role emphasizes developing a modern scientific computing stack, sharing engineering best practices, and working with a

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