Senior Software Engineer, Decision Science
New
K
KoBold MetalsMineral Exploration
Remote, 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
- Required Skills
- PythonMachine LearningNumpyData visualizationMLOps
Requirements
- At least 5 years of experience in decision science with a strong software engineering focus.
- Track record of building production-quality data processing solutions.
- Proficiency with foundational machine learning concepts (statistical, traditional, and deep-learning).
- Proficiency in Python, ideally including array-based packages like xarray and numpy.
- Deep experience with measured scientific data.
- Experience in visualizing scientific data for domain experts.
- Experience in MLOps and building robust machine learning systems.
- Ability to work with limited, disparate, and noisy data sources.
- Strong communication skills and ability to collaborate with non-developer domain experts.
- Ability to take ownership of large projects and independently prioritize tasks.
Responsibilities
- Architect, implement, and maintain decision science libraries used in mineral exploration analyses.
- Build tooling to increase decision-making velocity, including experimentation, evaluation, and simulation frameworks.
- Turn successful R&D into robust, scalable pipelines.
- Organize machine learning models and outputs for repeatability and discoverability.
- 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 modern decision science technology.
- Travel occasionally (approx. twice per year) to exploration sites to observe impact and design new technologies.
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