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KoBold Metals · 2 months ago

Senior Software Engineer, Decision Science

United States

Full-time

Remote

Senior Level

$170K/yr - $215K/yr

5+ years exp

KoBold Metals is a leading independent mineral exploration company focused on utilizing AI for mineral discovery. The role involves applying decision science techniques to build scalable systems that improve decision-making for mineral exploration projects, collaborating with a team of data scientists and geologists to tackle complex problems.

Artificial Intelligence (AI)MineralMiningSoftware

No H1B

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; turning successful R&D into robust, scalable pipelines; and organizing 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. Travel is approximately twice per year depending on project needs

Qualification

Decision ScienceSoftware EngineeringMachine LearningPythonData VisualizationMLOpsScientific Data AnalysisProject OwnershipIntellectual CuriosityCollaborationCommunication

Required

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

Track record of building production quality data processing solutions or tooling that have delivered business value

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

Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows

Capacity to dive deep on novel challenging problems in applying decision science to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources

Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)

Ability to take ownership and responsibility of large projects

Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations

Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company

Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities

Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company

Ability to independently prioritize multiple tasks effectively