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 LearningNumpyData scienceData visualizationMLOps
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.
- Proficiency with foundational ML concepts, including statistical, traditional, and deep-learning approaches.
- Proficiency in Python, including array-based packages such as xarray and numpy.
- Deep experience working with measured scientific data.
- Experience visualizing scientific data for domain experts.
- Experience in MLOps and building robust ML systems.
- Ability to work with limited, disparate, and noisy data sources.
- Strong communication skills with the ability to explain technical problems to domain experts.
- Collaborative attitude to work with diverse stakeholders including data scientists, geoscientists, and operations.
Responsibilities
- Architect, implement, and maintain foundational scientific computing libraries for mineral exploration analyses.
- Build tooling to increase machine learning velocity, including frameworks for experimentation, evaluation, and simulation.
- Transition successful R&D into robust, scalable ML pipelines and organize model outputs.
- Collaborate with data scientists to build models for predicting economic concentrations of metals in the Earth’s crust.
- 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 a modern scientific computing stack.
- Travel occasionally (approximately twice per year) to exploration sites to observe scientific computing impact.
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