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Software Engineer
ML and Scientific Computing
Posted on 11/23/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Computer Vision
Data Analysis
Data Science
Data Structures & Algorithms
Jupyter
Python
Responsibilities
  • Architect, implement, and maintain a set of foundational scientific computing libraries, for example distributed large-scale raster processing, that will be used in all of Kobold's data analyses
  • In collaboration with data scientists, develop a range of data processing, statistical, and physics-based techniques for geoscientific data - from computer vision to geophysical inversions
  • In collaboration with other engineers, build ML tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; building experimentation, evaluation, and simulation frameworks; productionizing successful R&D as robust scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability
  • Apply and coach team members to use engineering best practices such as writing testable and composable code
  • Collaborate with data scientists, geoscientists and engineers to invent the modern ML stack for mineral exploration
  • At least 5 years of experience as a software engineer, data scientist or ML engineer
  • Track record of building production ML solutions or tooling that have delivered business value
  • Proficiency in Python
  • Proficiency in a variety of parallel computing patterns, for example using distributed computing frameworks such as Dask
  • Understanding of scientific computing and machine learning algorithms
  • Flexibility to engage with data scientists and increase their productivity for both experimental and production workflows
  • An open-mind and curious attitude to learn and embrace the unique challenges of applying machine learning to mineral exploration, such as limited groundtruth data, complex quality metric design, and difficulties to create generalizable models
  • Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)
  • A Bachelor's degree in the physical sciences, engineering, computer science, or mathematics
KoBold Metals

51-200 employees

Sustainable mining solutions