AI/ML Engineer for Clean-Tech Subsurface AI

World Aquatics; Grenoble; Sur place; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Corporate welfare plan

Supplementary health insurance

Indefinite contract

Résumé du poste

Mantle8 is a clean-tech start-up revolutionising natural hydrogen exploration. We apply AI/ML to accelerate workflows from R&D to portfolio decisions, with a role building production‑grade models and AI agents across geoscience datasets and dashboards.

You will own end‑to‑end model development in a lean team, collaborating with geoscience, exploration, and technology specialists and supporting production-ready AI solutions in a fast‑growing company in the French Alps.

Qualifications

• Minimum 5 years applying AI/ML workflows.
• Hands-on fluency with the modern ML stack (pipelines, training infrastructure, model evaluation, MLOps).
• Experience with AWS (S3, EC2, RDS) and production databases, ideally PostgreSQL.
• Proven ability to work with unstructured/non-tabular data (text, PDFs, images, geospatial data).
• Fluent English (spoken and written).
• Master's in AI, Machine Learning, Data Science, or related field.
• Strong grasp of neural networks and modern frameworks (PyTorch, TensorFlow, Scikit‑learn, JAX, Spark, Ray).
• Demonstrated portfolio of AI/ML use cases (open‑source, internships, theses, or production deployments).
• Strong analytical mindset, comfortable turning ambiguous problems into clean solutions.
• Comfortable in a fast‑paced, lean team, owning models end‑to‑end.

Responsabilités

• Improve Simul8 and HOREX with AI surrogates, neural‑network architectures, and production‑grade pipelines.
• Bring AI into portfolio management: play assessment, prospect ranking, Go/No‑Go decisions, and decision‑grade insights for leadership.
• Build AI agents that autonomously explore Mantle8's datasets and dashboards.
• Design, train, and industrialise neural‑network models across modalities (geophysical signals, geological models, tabular data, text), with rigorous evaluation on subsurface/physics‑constrained problems.
• Prototype new AI use cases across teams and upskill the team on AI tools and data workflows.

Connaissances

AI/ML workflows

Modern ML stack

Analytical mindset

End-to-end model ownership

English fluency

Formation

Master's in AI/ML/Data Science or related

Outils

AWS

PostgreSQL

Databricks

PyTorch

TensorFlow

Scikit-learn

JAX

Spark

Ray

Description du poste

Mantle8 is a clean-tech start-up revolutionising natural hydrogen exploration. We apply AI/ML to accelerate workflows from R&D to portfolio decisions, with a role building production‑grade models and AI agents across geoscience datasets and dashboards.

You will own end‑to‑end model development in a lean team, collaborating with geoscience, exploration, and technology specialists and supporting production-ready AI solutions in a fast‑growing company in the French Alps.