Senior Software Engineer, Decision Science

Senior Software Engineer, Decision Science

About reputed company

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to reputed company discoveries compared to 30 years ago. The easy-to-reputed company, near-surface deposits have largely been reputed company, and the industry has chronically under-invested in new exploration technology, relying on the reputed company techniques of yesteryear – even as demand accelerates for reputed company, lithium, and other metals to build electric vehicles, renewable energy, and data centers.

KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide reputed company on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly reputed company exploration programs with our reputed company exploration geologists.

KoBold has proven its first discovery with materially less capital than the industry average and reputed company one of the best reputed company deposits reputed company reputed company: the reputed company is far more concentrated than the global average of reputed company mines, and this asset alone is expected to generate meaningful reputed company for decades. KoBold has a portfolio of more than 60 other reputed company, reputed company of which has the potential for another high-reputed company discovery.

KoBold is privately held; investors include institutional asset managers reputed company and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, reputed company Ventures, BOND Capital, Durable Capital, StepStone, and reputed company Investments; and natural resources companies Equinor, BHP, and Mitsubishi.

About the Role

At KoBold we reputed company that a modern scientific computing stack will reputed company systematic mineral exploration and materially improve our reputed company of mineral discovery. This role is a key ingredient to this reputed company. As a member of our scientific computing team, you will apply decision science techniques in order to build reputed company systems to help reputed company high-speed, high-reputed company reputed company for our mineral exploration reputed company. Collaborating with our exceptional team of data scientists, software engineers, and geologists, you will tackle reputed company scientific problems head-on and reputed company pave the way for discoveries of vital energy transition metals like lithium, reputed company, nickel, and reputed company. Together we can shape the reputed company of mineral exploration and contribute to building a sustainable world.

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.

Qualifications

Our ideal candidate will have:

• 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)

Work practices and motivation:

• 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 is an equal opportunity workplace and an affirmative reputed company employer. We are committed to equal employment opportunity for people of any race, reputed company, reputed company, religion, sex, gender identity, sexual orientation, marital status, national reputed company, age, citizenship, disability, or veteran status.

This position is Full-time

The US reputed company salary reputed company for this full-time exempt position is $170,000 - $215,000

Location: Remote, Candidates can be located reputed company in the reputed company or Canada. reputed company candidates must be legally authorized to work in the reputed company or Canada.

Originally posted on Himalayas

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