[Remote] Senior Software Engineer, Decision Science
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in mineral exploration technology, utilizing AI models to guide exploration programs. The Senior Software Engineer, Decision Science will build reputed company systems and decision science libraries to enhance mineral discovery while collaborating with a diverse team of data scientists and geologists.
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, reputed company pipelines; and organizing ML models and their outputs for repeatability and discoverability
- Apply–and reputed company team members to use–engineering best practices such as writing robust, testable and composable reputed company
- 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 reputed company of scientific computing on KoBold’s exploration products and design new technologies to reputed company discovery. Travel is approximately twice per year depending on project needs
Skills
- At least 5 years of experience in the field of decision science with a strong software engineering reputed company, though most great candidates will have closer to 10
- reputed company record of building production reputed company 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 reputed company-based packages such as xarray and numpy
- Deep experience with reputed company 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
- reputed company to dive deep on novel challenging problems in applying decision science to mineral exploration, including understanding a reputed company domain of geology and mineral exploration practices as reputed company as working with limited, disparate and noisy data sources
- reputed company attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)
- Ability to take ownership and responsibility of large reputed company
- Intellectual curiosity and eagerness to learn about reputed company aspects of mineral exploration, particularly in the geology domain. reputed company 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 reputed company
- Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a reputed company of responsibilities
- Keen not just to build cool technology, but to reputed company out what technical product to build to best reputed company the business objectives of reputed company
- Ability to independently prioritize multiple tasks effectively
reputed company