Profil employeur
Focus: Geospatial AI · Earth observation · Location intelligence
Geoox designs geospatial and earth-observation software that turns imagery, maps, and sensor streams into decisions for logistics, climate, insurance, and infrastructure teams. The stack blends classical ML, modern LLM-assisted workflows, and rigorous geo data engineering.
En bref: Geospatial intelligence & AI — satellite, mapping, and location-aware products
Catégorie sur la place de marché : Geospatial AI · Earth observation · Location intelligence.
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Compétences
Outils
Chaque carte mène à l’annonce complète—exigences, avantages et candidature.
Geospatial intelligence & AI — satellite, mapping, and location-aware products
Geospatial intelligence & AI — satellite, mapping, and location-aware products
Geospatial intelligence & AI — satellite, mapping, and location-aware products
Geospatial intelligence & AI — satellite, mapping, and location-aware products
Geospatial intelligence & AI — satellite, mapping, and location-aware products
Communauté en croissance—comptes membres avec preuves vérifiables, pas de profils démo seed.
We are scaling customer-facing copilots across multiple B2B suites. Product, legal, and applied ML need one accountable lead who can align roadmaps, experimentation, and disclosure requirements without slowing shipping.This Paris-based hybrid role reports to the VP Product and partners daily with…
Avantages · Hybrid 3/2, learning budget, top-tier mutual, parental leave.
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Geoox — Lead end-to-end models for raster and vector pipelines: cloud masking, change detection, and fusion with cadastral and mobility layers. Partner with product on evaluation harnesses that respect geographic leakage and seasonal drift.Stack: Python, PyTorch or TensorFlow, GDAL/GeoTIFF…
Avantages · Health coverage, learning budget, conference attendance for FOSS4G / CVPR workshops, modern GPU lab access.
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Geoox — Own ingestion and serving for large geospatial datasets: tiling, spatial indexes, ETL from imagery providers, and APIs consumed by web and mobile clients.Focus: reliability, cost-aware batching, and observability for jobs that span TB-scale assets. Collaborate closely with ML on feature…
Avantages · Remote-first async culture, home-office setup budget, team offsites.
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Geoox — Ship LLM-powered copilots grounded in maps, parcels, and operational telemetry. You will design retrieval over geo corpora, tool-calling for spatial queries, and safety reviews for user-facing answers.Expectations: production prompt/version control, offline eval sets with geo-specific edge…
Avantages · Hybrid weeks, mental health coverage, LLM tooling budget.
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Geoox — Blend statistical modeling with geo feature engineering for risk scoring, land-use classification, and anomaly detection across regions.You will: prototype in notebooks, partner with ML engineers on deployment, and communicate uncertainty clearly to customers.More about Geoox:…
Avantages · Transport subsidy, meal vouchers, training budget.
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