KoBold Metals

Senior Software Engineer, Decision Science

KoBold Metals
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15 days ago
Remote, WorldwideSenior
H1B Sponsor

Base Salary

$170k - $215k/yr

Responsibilities

  • Architect, implement, and maintain decision science libraries for mineral exploration analyses.
  • Build tooling for rapid prototyping, experimentation, evaluation, simulation, scalable production pipelines, and repeatable ML model organization.
  • Apply and coach robust, testable, and composable software engineering practices.
  • Collaborate with data scientists, geoscientists, and engineers to develop decision science technology for mineral exploration.
  • Travel to exploration sites approximately twice per year depending on project needs.

Requirements

  • At least 5 years of decision science experience with a strong software engineering focus.
  • Track record of building production-quality data processing solutions or tooling that delivered business value.
  • Proficiency in foundational machine learning concepts, including statistical, traditional, and deep-learning approaches.
  • Proficiency in Python, ideally including xarray and NumPy.
  • Deep experience with measured scientific data and visualizing scientific data for domain experts.
  • Experience with MLOps and robust machine learning systems.
  • Ability to work with novel decision science problems, complex geology and mineral exploration domains, and limited, disparate, and noisy data.
  • Ability to take ownership of large projects, prioritize tasks independently, communicate technical problems to non-developer domain experts, and collaborate across disciplines.
  • Willingness to learn about mineral exploration and work directly with geologists in the field.

Benefits

  • Full-time exempt position.
  • Remote role open to candidates located anywhere in the United States or Canada.
  • Employees are expected to travel to project sites, with a minimum of one week per year; field-facing and technical roles spend significantly more time in the field.
  • Equal opportunity and affirmative action employer.

Tech Stack

NumPyPython
KoBold Metals

About KoBold Metals

51-200 employees

Finding the materials of the future with AI and HI: KoBold Metals discovers the materials critical for the electric vehicle and renewable energy revolutions.

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