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Lithosquare propose une plateforme d’IA géologique pour accélérer l’exploration des minerais critiques. Elle aide les entreprises minières à analyser les données et à identifier des cibles de forage plus rapidement.

Repères sur Lithosquare
Secteur
Énergie
Siège
Paris
Domaine officiel
lithosquare.com
Création
2024 · 2 ans
Financement total publié
22 M€Source ↗
Dernière levée
Other · 2026-05-05
Montant annoncé
22 000 000 €
Offres ouvertes
4

Investisseurs mentionnés

Détails de l’offre

La description complète publiée par Lithosquare.

Voir l’offre originale ↗

About the company

The transition to a sustainable future requires discovering new mineral resources to power clean technologies and renewable energy solutions. From lithium for electric vehicle batteries, to copper for wind turbines, and rare earth elements for electronics

  • these minerals are the building blocks of our energy transition. Lithosquare radically speeds up mineral exploration by combining foundational AI, geological expertise, and real-world data
  • to reduce uncertainty, prioritize the right targets, reduce costs and accelerate discovery. Based in Paris, Lithosquare gathered an exceptional team of geologists, scientists, AI engineers, and data specialists to work as one
  • from field sampling to model optimization
  • and push the boundaries of what’s possible.

About the role

We’re looking for a Forward Deployed Engineer who can bridge cutting-edge AI with practical geology. In this role you’ll collaborate closely with both our internal R&D team and exploration geologists

  • as well as our partners
  • to turn raw geology data into insights while leveraging Lithosquare’s Core Platform. You thrive in a fast-paced, collaborative environment, and you bring a proactive, solution-oriented mindset
  • especially when applying AI to practical, field-level challenges. The role is based in Paris with flexible remote working policy.

What you’ll do

Reporting to the Head of Product as part of the FDE team, your main responsibilities will include:

  • Collaborate with our geologists and partners to surface pain points and translate them into solvable data or AI problems.
  • Serve as a power user and early tester of new tools and features, conducting thorough evaluations to identify improvements and provide clear feedback to engineering teams.
  • Master Lithosquare’s Core Platform while rapidly prototyping & refining on top of it
  • Act as the technical face of our product in workshops, demos, and proof-of-concept engagements, distilling complex ideas for non-technical audiences.
  • Work closely with Product & Technical teams to relay feedback & suggest improvements to the platform.

What we’re looking for

4+ years in Solutions Engineering, customer-facing Data Science, Pre-sales Engineering, or a similarly hybrid technical role

  • Fluency in Python for data and ML, solid SQL skills, with hands-on experience using AI tools and LLM concepts
  • Excellent communication and collaboration skills to work effectively in a multidisciplinary team environment
  • Comfortable presenting prototypes, running technical workshops, and fielding tough questions from clients and scientists alike
  • Passion for leveraging AI to make a positive environmental impact
  • Familiarity with geology or geospatial data tooling (GeoPandas, raster/vector formats) is a plus PERKS &

Benefits

🏢 Offices located in the heart of Paris

  • 🌱 Strong culture of ownership & entrepreneurship
  • 🌍 Opportunity to significantly contribute to energy transition
  • 👥 Collaborative work environment with world-class experts in geology, AI, and data science
  • 🔄 Flexible work arrangements enabling work-life balance
  • 🚴 Sustainable mobility allowance (Forfait Mobilité Durable)
  • 🏋️ Gym pass
  • 🎉 Frequent team drinks, events & regular off-sites
  • 💰 Competitive salary package
  • 🍽️ Meal vouchers and health insurance coverage (Alan) Join Lithosquare and become part of a passionate team driving innovation at the intersection of AI and Earth exploration. Let’s make a tangible difference together!

Prérequis

  • Fluency in Python for data and ML
  • Solid SQL skills
  • Excellent communication and collaboration skills
  • Experience presenting prototypes and running technical workshops

Avantages mentionnés

  • Sustainable mobility allowance
  • Gym pass
  • Meal vouchers
  • Health insurance coverage
  • Flexible work arrangements

Lieu de travail

Adresse confirmée

L’offre publie directement cette adresse.

11 blv Sebastopol, 75001 Paris
Indice de confiance 5 sur 5
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