
201 - 500 employés
Fondée en 2013
🤖 Intelligence artificielle
☁️ SaaS
🔧 Matériel
💰 €44 000 000 Later Stage VC (Series B) en 2025-08
Artificial Intelligence • SaaS • Hardware
GeologicAI développe des outils, des technologies et des solutions d’aide à la décision pour le secteur minier et celui des minéraux critiques. L’entreprise propose le scan de carottes multi-capteurs (RGB, XRF, hyperspectral, LiDAR, LIBS), la description numérique des carottes, la modélisation des ressources ainsi qu’une plateforme de modélisation automatisée (AMP) dans le cloud, qui intègre des agents d’IA aux workflows de géologie et de planification minière. GeologicAI associe des équipements de détection haute fidélité, des analytics pilotés par l’IA et une expertise métier pour accélérer et améliorer la précision et la cohérence de la caractérisation des ressources, de la description des carottes et de la planification minière pour les opérateurs miniers.
🕒 il y a 13 jours
🗣️🇺🇸🇬🇧 Anglais requis
D'où vient cette offre
Publiée sur la page carrières de GeologicAI, pas via un site d'emploi
Repérée par Remote Rocketship il y a 13 jours
Toujours ouverte sur le site de GeologicAI. Vérifiée il y a 2 heures.

201 - 500 employés
Fondée en 2013
🤖 Intelligence artificielle
☁️ SaaS
🔧 Matériel
💰 €44 000 000 Later Stage VC (Series B) en 2025-08
Artificial Intelligence • SaaS • Hardware
GeologicAI développe des outils, des technologies et des solutions d’aide à la décision pour le secteur minier et celui des minéraux critiques. L’entreprise propose le scan de carottes multi-capteurs (RGB, XRF, hyperspectral, LiDAR, LIBS), la description numérique des carottes, la modélisation des ressources ainsi qu’une plateforme de modélisation automatisée (AMP) dans le cloud, qui intègre des agents d’IA aux workflows de géologie et de planification minière. GeologicAI associe des équipements de détection haute fidélité, des analytics pilotés par l’IA et une expertise métier pour accélérer et améliorer la précision et la cohérence de la caractérisation des ressources, de la description des carottes et de la planification minière pour les opérateurs miniers.
• Lead the geotechnical workstream for GeologicAI’s scanning systems • Deliver product scoping, prioritization, and definitions of done for product development and commercial rollout • Shape long-term product roadmaps, identify market opportunities, and strengthen competitive positioning • Establish and prioritize geotechnical product requirements, including imaging and sensor data quality, structural picking and orientation pipelines, strength and rock mass classification workflows, validation methods, and development cadence • Own and evolve the product canvas for geotechnical characterization • Coordinate and prioritize projects across the geotechnical workstream • Establish technical positioning against competitors and contribute to strategic planning, trend analysis, capability-gap identification, and resourcing recommendations • Prototype geotechnical algorithms and workflows for fracture and defect detection, RQD and fracture frequency, discontinuity orientation and roughness, and strength proxies • Engage with prediction model development alongside data scientists and software developers • Recruit and develop team members through mentorship, feedback, and growth opportunities • Convey the value of automated geotechnical outputs for slope and underground stability design, mine planning, ground support optimization, and geotechnical risk management • Support product development update meetings with client geotechnical engineers and engineering geologists • Build relationships with academic institutions and third parties • Scope geotechnical logging, rock mass classification, and strength prediction workflows • Review client geotechnical data and generated outputs for engineering sense and analytical integrity • Collaborate on geological, resource, and geotechnical domain models • Design and oversee validation studies from individual discontinuity picks through drill-hole-scale rock mass domains and laboratory strength testing • Develop or supervise calibration and prediction models based on core imaging and fused scanning data • Travel for client meetings and site visits up to 20% of the time
• Degree in geological engineering, geotechnical engineering, engineering geology, rock mechanics, or a closely related field • Professional registration (P.Eng., P.Geo., or equivalent) is an asset • Experience converting research and development work to commercial product • Experience leading technical teams through ambiguous R&D-to-product translation work • Project management and collaborative skills to focus and prioritize critical work first • Ability to guide teams with clear goals and KPIs where needed • Demonstrated ability to develop and mentor team members, foster a high-performing team culture, and grow leadership capabilities • Track record of leading projects and teams to make decisions under uncertainty • Strong working knowledge of geotechnical core logging and rock mass characterisation, including RQD, fracture frequency, discontinuity orientation, roughness and infill, weathering and alteration, and RMR, Q, and GSI classification systems • Experience with differences between automated imaging and sensor systems, manual geotechnical recording, and laboratory measurements, including calibration and validation implications • Familiarity with laboratory rock strength and index testing, including UCS, point load, Brazilian tensile, and triaxial testing • Technical coding literacy sufficient to critically review notebooks and engage with modelling choices • Existing networks in the geotechnical, rock mechanics, or mining engineering space • Prior mining industry experience for a major producer or consulting company is an asset • Technical coding and model-building capabilities are an asset
• A casual and fun work environment • Flexible schedule and opportunities for remote work • Extended health and dental benefits • Robots with lasers!
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