Senior Software Engineer, Scientific Computing – Hardware/Sensors

🕒 il y a 8 jours

🌐 États-Unis, Canada – Distant

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💵 $170 000 - $215 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 16%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

Numpy

Python

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KoBold Metals

51 - 200 employés

Fondée en 2019

🤖 Intelligence artificielle

🔬 Science

⚡ Énergie

Artificial Intelligence • Science • Energy

KoBold Metals est une entreprise spécialisée dans l'exploration minérale avancée. En investissant plus de 100 millions de dollars par an dans plus de 60 projets sur cinq continents, KoBold est à la pointe de l'utilisation de l'intelligence artificielle et de nouveaux matériels pour transformer l'exploration minérale en une science reproductible. L'entreprise agrège des données complètes sur la croûte terrestre et utilise des outils d'IA propriétaires, y compris le système Machine Prospector®, pour minimiser les incertitudes dans l'exploration. KoBold Metals s'engage à respecter des pratiques d'exploration éthiques et bénéficie du soutien d'investisseurs de classe mondiale dédiés à la découverte et au développement de nouvelles ressources en métaux pour batteries. Leur approche innovante exploite l'IA pour construire la plus grande collection d'informations géoscientifiques au monde et modéliser les données souterraines de manière statistique.

Description

• Architect, implement, and maintain foundational scientific computing libraries for mineral exploration analyses • Integrate third-party and domain-specific tooling into coherent, repeatable pipelines • Build tooling for rapid Jupyter notebook prototyping, experimentation, evaluation, simulation, scalable ML pipelines, and repeatable model organization • Debug across third-party binaries, undocumented formats, other people's code, and deployed instrumentation • Apply and coach engineering best practices, including robust, testable, and composable code • Collaborate with data scientists, geoscientists, and engineers to develop KoBold's scientific computing stack • Travel occasionally to exploration sites to observe product impact and design technologies supporting mineral discovery

🎯 Exigences

• At least 5 years of experience as a software engineer, data scientist, or ML engineer • Work experience across many distinct technical problem types • Track record of building production-quality data processing solutions or tooling that delivered business value • Proficiency with foundational ML concepts, including statistical, traditional, and deep-learning approaches • Proficiency in Python, ideally including xarray and NumPy • Experience with physical-world data, including measurements, scientific instrument output, imagery, or geophysical data • Experience visualizing scientific data for domain experts • Hands-on experience with hardware, flight, space, lab instrumentation, or field-deployed systems • Ability to work with complex geology and mineral exploration domains and limited, disparate, noisy data sources • Collaborative ability with data scientists, geoscientists, software engineers, and operations stakeholders • Ability to take ownership of large projects and independently prioritize multiple tasks • Ability to explain technical problems and solutions to non-software domain experts • Excitement about joining a fast-growing early-stage company and working in a dynamic environment • Must be legally authorized to work in the United States or Canada

🏖️ Avantages

• Occasional travel to exploration sites around the world, approximately twice per year depending on project needs • Equal employment opportunity workplace and affirmative action employer

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