About this role
Build foundational scientific computing libraries and ML systems for mineral exploration at KoBold Metals. You'll integrate heterogeneous data pipelines, enable rapid prototyping for data scientists, and work with physical sensor data, geophysics, and remote sensing to discover energy transition metals. Occasional travel to exploration sites worldwide.
Must have
At least 5 years of experience as a software engineer, data scientist or ML engineer
Proficiency in Python including array-based packages such as xarray and numpy
Proficiency with foundational concepts of ML including statistical traditional and deep-learning approaches
Track record of building production quality data processing solutions that delivered business value
Experience with data from the physical world such as physical measurements scientific instrument output imagery or geophysical data
Experience in visualizing scientific data for domain experts
Hands-on history with hardware flight space lab instrumentation or field-deployed systems
Work experience across many distinct technical problem types
Ability to take ownership and responsibility of large projects
Strong communication skills to collaborate with domain experts who are not software developers
Technologies
Responsibilities
Architect implement and maintain foundational scientific computing libraries for mineral exploration analyses
Integrate third-party and domain-specific tooling into coherent repeatable pipelines
Build tooling to increase velocity of machine learning progress including rapid prototyping in Jupyter notebooks
Build experimentation evaluation and simulation frameworks
Turn successful R&D into robust scalable ML pipelines
Organize models and their outputs for repeatability and discoverability
Debug across boundaries including third-party binaries undocumented formats and deployed instrumentation
Apply and coach team members on engineering best practices for robust testable and composable code
Collaborate with data scientists geoscientists and engineers to invent modern scientific computing stack for mineral exploration
Occasional travel to exploration sites approximately twice per year to observe impact and design new technologies
Benefits
Recruitment process
Full-time exempt position
Remote candidates can be located anywhere in the United States or Canada
All candidates must be legally authorized to work in the United States or Canada
KoBold is privately held with investors including T. Rowe Price Andreessen Horowitz and Breakthrough Energy Ventures
Company has proven first discovery with materially less capital than industry average
Portfolio of more than 60 projects each with potential for high-quality discovery
Equal opportunity workplace and affirmative action employer
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