Senior Software Engineer, Scientific Computing
New
K
KoBold MetalsMineral exploration
Candidates can be located anywhere in the United States or Canada.Full-TimeSenior
Salary170,000 - 215,000 USD per year
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Job Details
- Experience
- At least 5 years of experience
- Required Skills
- PythonMachine LearningNumpy
Requirements
- At least 5 years of experience as a software engineer, data scientist, or ML engineer.
- Track record of building production-quality data processing solutions or tooling that delivered business value.
- Proficiency with foundational concepts of ML (statistical, traditional, and deep learning).
- Proficiency in Python, ideally including array-based packages such as xarray and numpy.
- Experience with data from the physical world (physical measurements, scientific instruments, imagery, or geophysical data).
- Hands-on history with hardware, flight, space, lab instrumentation, or field-deployed systems.
- Experience visualizing scientific data for domain experts.
- Ability to collaborate with stakeholders across data science, geoscience, and operations.
- Capacity to work with limited, disparate, and noisy data sources.
- Strong communication skills for explaining technical problems to non-developer domain experts.
- Ability to independently prioritize multiple tasks.
Responsibilities
- Architect, implement, and maintain foundational scientific computing libraries that will be used in KoBold’s mineral exploration analyses.
- Integrate third-party and domain-specific tooling into a coherent, repeatable pipeline.
- Build tooling to increase the velocity of machine learning progress, including experimentation, evaluation, and simulation frameworks.
- Turn successful R&D into robust, scalable ML pipelines and organize models for repeatability.
- Debug across boundaries including third-party binaries, undocumented formats, and deployed instrumentation.
- Apply and coach team members on engineering best practices such as writing robust, testable, and composable code.
- Collaborate with data scientists, geoscientists, and engineers to invent the modern scientific computing stack for mineral exploration.
- Travel occasionally (approximately twice per year) to exploration sites to observe impact and design new technologies.
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