Senior Software Engineer - Decision Science
New
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 in the field of decision science with a strong software engineering focus, though most great candidates will have closer to 10.
- Required Skills
- PythonMachine LearningNumpyMLOps
Requirements
- At least 5 years of experience in the field of decision science with a strong software engineering focus.
- Track record of building production quality data processing solutions or tooling.
- Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches.
- Proficiency in Python, ideally including array-based packages such as xarray and numpy.
- Deep experience with measured scientific data.
- Experience in visualizing scientific data for domain experts.
- Experience in MLops and in the making of robust ML systems.
- Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.
Responsibilities
- Architect, implement, and maintain decision science libraries that will be used in KoBold’s mineral exploration analyses.
- Build tooling to increase the velocity of our decision making, including enabling rapid prototyping in Jupyter notebooks.
- Build experimentation, evaluation, and simulation frameworks.
- Turn successful R&D into robust, scalable pipelines.
- Organize ML models and their outputs for repeatability and discoverability.
- Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code.
- Collaborate with data scientists, geoscientists and engineers to invent the modern decision science technology for mineral exploration.
- Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold’s exploration products and design new technologies to further discovery.
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