Senior Data Engineer
Built Technologies- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science or a related field, and have at least 7 years of experience in software engineering, with a strong preference for experience in data systems engineering. They should demonstrate proficiency in software development methodologies and a deep understanding of data architecture principles.
As a Senior Software Engineer, you will be responsible for enabling systematic exploration by making mineral exploration data broadly accessible to humans, embedding directly with exploration teams to understand their needs, and developing state-of-the-art technology solutions. You will also contribute to the development of AI models and deploy them alongside novel sensors, and occasionally participate in field expeditions to experience the impact of the software in real-time.
AI-driven mineral exploration for clean energy
KoBold Metals focuses on discovering new deposits of essential minerals like lithium, cobalt, copper, and nickel, which are crucial for clean energy technologies. The company employs artificial intelligence to enhance the mineral exploration process, making it more efficient and predictable. Their proprietary AI tool utilizes a concept known as Efficacy of Information (EOI) to guide data collection during exploration, helping to reduce uncertainty. KoBold invests over $60 million annually in more than 60 projects across three continents, leading extensive research and development efforts in the field. Unlike traditional exploration methods, KoBold aggregates comprehensive data about the Earth's crust's physics and chemistry, allowing for a more scientific approach to mineral discovery. The company's goal is to locate and sell mineral deposits to clean energy companies, providing them with the necessary resources while maintaining a competitive advantage in the market.