16 meilleures offres (computer vision engineer, paris, a8) (à pourvoir)

Computer Vision Engineer
Comand AI —Paris (75)
- Temps plein
- Télétravail partiel
- Anglais
- Python
Postuler rapidement
il y a 12 jours
AI / ML Engineer H/F
Skaleet —Boulogne-Billancourt (92)
- Anglais
- Master
- APIs
il y a 2 jours
AI Engineer / Scientist confirmé F/H
Deloitte —Puteaux (92)
- Télétravail partiel
- Azure
- Informatique
- Master
il y a 10 jours
CDD - Machine Learning Engineer H/F
Crédit Agricole S.A. —Montrouge (92)
- Master
- AWS
- Bureautique
AI ENGINEER stage F/H
VINCI Energies —Nanterre (92)
- AutoCAD
- Azure
- Informatique
Omics Data Scientist
Spore.Bio —Paris (75)
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Master
Senior Software Engineer
IQGeo —Paris (75)
- De 60 000 € à 75 000 € par an
- Temps plein
- Télétravail partiel
- Anglais
- Master
- Scripting
Postuler rapidement
Account Director, Digital Natives - Israel
OpenAI —Paris (75)
- Temps plein
- Anglais
Electrical Engineer
Harmattan AI —Paris (75)
- Temps plein
- Conception de systèmes
- Master
Lead Architect — Paris | BCG Platinion
Boston Consulting Group —Paris (75)
- Temps plein
- Leadership
Head of Theory & Applications
C12 Quantum Electronics —Paris (75)
- De 92 000 € à 108 000 € par an
- Temps plein
- Télétravail partiel
Postuler rapidement
il y a 11 jours
Data Engineer Confirmé (Cloud Snowflake) F/H
Viseo —Boulogne-Billancourt (92)
- Temps plein
Senior Solution Consultant- Healthcare (Interoperability & Data)
Infor —Rueil-Malmaison (92)
- Systèmes PGI
- Anglais
- Master
Business Analyst (French Speaking)
IQGeo —Paris (75)
- Jusqu’à 50 000 € par an
- Temps plein
- Télétravail partiel
- Anglais
Postuler rapidement
Lead/Principal AI Architect — Paris | BCG Platinion
Boston Consulting Group —Paris (75)
- Temps plein
- Leadership
Lead IA H/F
VISEO —Boulogne-Billancourt (92)
- Temps plein

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Computer Vision Engineer

Comand AI
Paris (75)

Postuler rapidement

Détails de l'emploi

Temps plein
Il y a 12 jours

Qualifications

PyTorch
NumPy
Git
Anglais
PostgreSQL
Deep learning
GitHub
Python

Description complète du poste

Comand AI's mission is to build next-generation C2 software with real users in real deployments. We are fully indexed on the success of every single user, which means our research has to work in the field, not on a benchmark.

As a Computer Vision Engineer, you own the hardest perception problems in the stack. The job is to crack the scientific problems that prevent us from turning multi-source sensor data (satellite, drone, ISR, OSINT) into real-time operational clarity. Your models ship into production on short cycles, used by people for whom bad output has real consequences.

In practice:

Design and train architectures for object detection and segmentation on satellite and aerial imagery, and classification across complex image types
Drive our applied research agenda: track the state of the art rigorously, form hypotheses, iterate fast
Push models to production readiness: optimize for inference speed and robustness under distribution shift, which will happen in field conditions
Work closely with data engineers and software engineers to move work from research to production without losing what matters
Spend time with end users and domain experts to understand what "good" actually means in their context

Who We're Looking For

We want scientific depth combined with the instinct to ship. Not a publication count, but evidence of both: a GitHub and Google Scholar that tell a coherent story. A recent PhD is one path in. A more experienced researcher with a strong collaborative instinct and a track record of shipping is equally welcome.

Must-have:

PhD in AI, deep learning, or computer vision, or 5-10 years of serious applied research with a track record to back it up
Strong deep learning expertise, non-negotiable. Computer vision experience strongly preferred
Solid Python, Git, and PyTorch. JAX/Flax, scikit-learn, and Numpy are real pluses
Hands-on experience with Transformer and multimodal architectures applied to visual data
EU citizenship (required by our defense contracts)
English fluency
A genuine appetite for cross-functional work: you explain your technical choices, co-design with product and operational teams, and take ownership of outcomes rather than just models

Nice to have:

Applied work with satellite, aerial, or drone imagery
Experience deploying models to constrained or sovereign environments
SQL/PostgreSQL
Prior work in defense, dual-use, or operational tech
Geospatial data processing background

What's In It For You

Competitive package (top 0.1% of compensation in Europe: base + equity)
Paris-based with occasional travel to active deployment areas

The Process

Talent screening: 30 min, online. We talk through your background and motivation.
Research deep dive: 60 min, online. We evaluate the depth of your expertise and how you reason through hard CV and deep learning problems.
Technical interview: 60 min, online. Coding and applied ML problem-solving. A second round may follow if we want more signal.
Onsite in Paris: half day. Analytical decomposition then a short project presentation.
Roundtable: hiring committee

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computer vision engineer (paris, a8)

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