We're Stratum, a mining software company with machine learning models as our core product. Our 3D maps predict how gold, silver, copper, etc. are distributed (and how much!) using only small amounts of data, unconventional data processing, and proprietary ML protocols. Our work directly affects how much money a mine is going to make next week/month/year while reducing waste/cost. We're supported by Founders Fund, Aramco, Builders VC, Y Combinator, and Ilya Sutskever, former Chief Scientist at OpenAI, who have recognized the potential of our industry-disrupting technology. We're at an inflection point where mining companies are coming to us; we are looking for an adaptable and capable Machine Learning Developer to join our startup's technical team and help us meet this demand!
You'll be joining a diverse team of engineers and data scientists to work on building, improving, and maintaining end-to-end machine learning systems. If you are interested in building tools specifically for machine learning deployed in a legacy industry and want to explore novel applications of deep learning by working with mining clients, then this is the role for you.
We're seeking a meticulous Documentation Engineer to help us capture critical organizational knowledge and create accessible resources. The ideal candidate will have experience documenting complex technical processes, ideally related to machine learning and heavy industry, with strong interview skills to obtain knowledge from subject matter experts.
Success in this role will be measured by your ability to establish a comprehensive knowledge management system that enhances operational efficiency, promotes knowledge sharing, and preserves institutional knowledge. You'll play a critical role in capturing the expertise of our specialized teams, creating resources that enable consistent service delivery and accelerate onboarding for new team members.
This position can be remote, with occasional travel to in-person meetings.