Senior Software Engineer, Scientific Computing

At least 5 years of experience as a software engineer, data scientist, or ML engineer. Track record of building production quality data processing solutions or tooling. Proficiency with foundational concepts of ML. Proficiency in Python, including array-based packages like xarray and numpy. Deep experience with measured scientific data. Experience in visualizing scientific data for domain experts. Experience in MLOps and making robust ML systems. Drive to increase the velocity and effectiveness of data scientists. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration. Collaborative attitude to work with stakeholders with different backgrounds. Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about mineral exploration. Ability to explain technical problems to and collaborate on solutions with domain experts. Excitement about joining a fast-growing early-stage company. Keen to build technical products that achieve business objectives. Ability to independently prioritize multiple tasks effectively.

Architect, implement, and maintain foundational scientific computing libraries. Build tooling to increase the velocity of machine learning progress. Develop models to make statistically valid predictions about ore metal locations. Apply and coach team members on engineering best practices. Collaborate to invent the modern scientific computing stack for mineral exploration. Occasional travel to exploration sites for observation and design.