Senior Software Engineer, Decision Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, and sustain decision science libraries that will be utilized in KoBold’s mineral exploration analyses.

• Develop tools that enhance the speed of our decision-making process, including facilitating rapid prototyping in Jupyter notebooks; creating experimentation, evaluation, and simulation frameworks; transforming successful research and development into robust, scalable pipelines; and organizing machine learning models and their outputs for repeatability and discoverability.

• Apply and mentor team members in engineering best practices such as crafting robust, testable, and composable code.

• Collaborate with data scientists, geoscientists, and engineers to innovate modern decision science technology for mineral exploration.

• Occasional travel to exploration sites worldwide to assess the influence of scientific computing on KoBold’s exploration products and to design new technologies that advance discovery. Travel occurs approximately twice a year based on project requirements.

⛳️ Requirements

• A minimum of 5 years of experience in the field of decision science with a strong emphasis on software engineering; however, most outstanding candidates will possess closer to 10 years.

• Proven history of developing production-quality data processing solutions or tools that have generated business value.

• Proficiency in fundamental machine learning concepts, encompassing statistical, traditional, and deep learning methodologies.

• Expertise in Python, ideally including array-based libraries such as xarray and numpy.

• Extensive experience with measured scientific data.

• Skilled in visualizing scientific data for domain experts.

• Experience in MLops and creating resilient machine learning systems.

• Motivation to enhance the speed and effectiveness of our data scientists in both experimental and production environments.

• Ability to thoroughly investigate novel and challenging problems in applying decision science to mineral exploration, including grasping a complex domain of geology and mineral exploration practices, as well as working with limited, disparate, and noisy data sources.

• A collaborative mindset to work with stakeholders from diverse backgrounds (data scientists, geoscientists, software engineers, operations).

🏝️ Benefits

• Equal opportunity workplace.

• Affirmative action employer.