? Localisation : Paris (2j/semaine sur site) ? Démarrage : ASAP ? Durée : 6 mois minimum ? Nous recherchons un Deep Learning Engineer expérimenté dans un……
Technical Interview with two members of the SaMD squad – 90 min - On-site. Vision Alignment with Alex (SaMD Product Manager) and Arnaud (CEO) – 1h - On-site.…
The ideal candidate has expertise in building scalable LLM-powered solutions, machine learning lifecycle management, data generation methods, model training,……
C’est pourquoi nous accompagnons les plus grands acteurs de la finance, de l’industrie et de la tech sur leurs projets les plus stratégiques en Data Science,……
Paid parental leaves, vacations, and national holidays. Develop and elevate staff and senior engineers through mentorship and hands-on technical collaboration.…
Performance and internals — diagnose and resolve performance issues from the query down to the storage engine: indexing strategy, query planning, vacuum and……
Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops. Conduct experiments on the latest deep-learning techniques (sparsified 70 B +……
Strong experience with deep learning for time-series, sequential, multimodal, or sensor data. The role spans representation learning, self-supervised learning,……
Core Tech Stack: Expert-level command of Python and deep learning frameworks (PyTorch). Design and Train: Develop state-of-the-art machine learning algorithms……
Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and……
Proven Experience: Minimum of 5-6 years of experience for senior levels. Technical Proficiency: Hardcore PyTorch engineering skills combined with deep……
We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds……
You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned……
Travailler à ses côtés, c’est intégrer une équipe d’experts passionnés, être challengé sur le plan technique et méthodologique, et contribuer à des projets à……
You have deep understanding of concepts and algorithms underlying machine learning and LLMs. You hold strong communication skills with an ability to explain……
You have contributed to product security initiatives: vulnerability management, penetration test coordination, threat modeling, or security reviews with……
La diversité de nos équipes est l'une de nos forces et nous travaillons chaque jour avec plus de 35 nationalités dans différents pays du monde entier.…
Fuel ops teams with reliable data for deep analysis. The mission of data engineers is to fuel the Platform products and operations with high quality data that……
Fluent English with excellent communication skills - able to explain technical simulation concepts to both engineering and non-technical audiences.…
Strong Communication & Autonomy: Excellent written and verbal communication skills in French and English. Project Leadership & Cross-Team Coordination : Lead R&……
3+ years of experience training large-scale deep learning models in audio, speech, or acoustic domains. TLDR: Audio / Multimodal ML Engineer to train and ship……
Intégrer une entreprise en pleine expansion qui valorise l’humain, l’innovation, l’excellente et l’engagement. Stratégie IA & support à l’innovation*.…
As one of the fastest-growing tech companies, bringing together early-stage engineers, product builders, and business athletes from companies like Stripe,……
? Localisation : Paris (2j/semaine sur site)
? Démarrage : ASAP
? Durée : 6 mois minimum
? Nous recherchons un Deep Learning Engineer expérimenté dans un contexte à forte dimension technologique.
? Vos missions principales? Développer, entraîner et tester des modèles de Deep Learning (Computer Vision)
? Travailler sur des données d'imagerie aérospatiale
? Contribuer à la mise en production des modèles
? Participer à l?amélioration de la stack MLOps (CI/CD, industrialisation)
? Collaborer au sein d?une squad agile (5?7 personnes)
Profil candidat:
?? Stack & compétences clés? Python (expert) & bonnes pratiques de développement
? Deep Learning / Computer Vision
? Software Engineering (architecture, tests, CI/CD)
? Expérience MLOps
? Profil recherché4+ ans d?expérience en ML / Deep Learning
Esprit technique, capacité à défendre une vision & à faire du mentoring