About the role
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What you will do
- Explore various state-of-the-art computer vision techniques (Machine Learning, Deep Learning, Odometry, etc.) and assess their relevance to our industrial constraints (real-time, robustness, embedded compute)
- Design, develop and implement state-of-the-art positioning algorithms, from prototype to production-grade code
- Benchmark and validate your algorithms against real robotic setups and industrial use cases, iterating based on measured accuracy and latency
- Collaborate closely with the R&D and engineering teams to integrate your work into Inbolt Studio
- Stay on the bleeding edge of research and participate actively in the community (scientific papers, patents)
Nice to have
- Currently in your final year (Bac+5) at an engineering school or university Master’s program, looking for a 5-6 month end-of-studies internship (stage de fin d’études)
- Genuine curiosity for robotics and 3D vision, comfortable navigating ambiguity and open-ended research questions
- Python (torch, TensorFlow, or similar is appreciated)
- Deep Learning and Computer Vision knowledge
- Capacity to handle a good level of code quality and stability
- Fluent or at least working-level French and/or English
Benefits
- Prime office location
- Team-building events & off-sites
- Bring-your-dog-to-work policy
- Meal — lunch expenses
- Gymlib — subscription covered
Full posting text
Axeptio consent Consent Management Platform: Personalize Your Options Our platform empowers you to tailor and manage your privacy settings, ensuring compliance with regulations. Customize your preferences to control how your information is handled. Inbolt R&D Computer Vision Intern Résumé du poste Stage(4 à 6 mois) Paris Télétravail occasionnel Salaire : Non spécifié Expérience : \> 6 mois Compétences & expertises Travail d'équipe Collaboration et travail d'équipe Team building TensorFlow Actively +1 Postuler Sauvegarder il y a 26 jours Partager Copier le lien * * * Partager sur FacebookPartager sur XPartager sur Linkedin Inbolt Cette offre vous tente ? Postuler Sauvegarder Questions et réponses sur l'offre L'envoi d'un CV est-il obligatoire pour postuler à cette offre ? Pour postuler à cette offre, l'envoi de votre CV est obligatoire. Le télétravail est-il possible pour ce poste ? Le télétravail occasionnel est autorisé pour ce poste. Quel est le type de contrat pour ce poste ? Le contrat pour ce poste est de type Stage. Une lettre de motivation est-elle obligatoire pour postuler à cette offre ? La lettre de motivation est optionnelle pour postuler à cette offre. Le poste Descriptif du poste As an R&D Computer Vision intern, you will be part of the R&D Team to improve Inbolt’s tracking algorithms (accuracy, reliability, frame rate, etc.). 🎯 Responsibilities - Explore various state-of-the-art computer vision techniques (Machine Learning, Deep Learning, Odometry, etc.) and assess their relevance to our industrial constraints (real-time, robustness, embedded compute) - Design, develop and implement state-of-the-art positioning algorithms, from prototype to production-grade code - Benchmark and validate your algorithms against real robotic setups and industrial use cases, iterating based on measured accuracy and latency - Collaborate closely with the R&D and engineering teams to integrate your work into Inbolt Studio - Stay on the bleeding edge of research and participate actively in the community (scientific papers, patents) ✨ Benefits - 📍 Prime office location - 🤝 Team-building events & off-sites - 🐶 Bring-your-dog-to-work policy - 🍽️ Meal — lunch expenses - 💪 Gymlib — subscription covered - 🩺 Health coverage Voir plus * * * Profil recherché Inbolt values end-to-end ownership , high rigor , and a hands-on curiosity . We move fast while staying precise, with a proactive, autonomous, results-driven mindset and strong collaboration with engineering teams. 🔎 Preferred experience - Currently in your final year (Bac+5) at an engineering school or university Master’s program, looking for a 5-6 month end-of-studies internship (stage de fin d’études) - Genuine curiosity for robotics and 3D vision, comfortable navigating ambiguity and open-ended research questions - Python (torch, TensorFlow, or similar is appreciated) - Deep Learning and Computer Vision knowledge - Capacity to handle a good level of code quality and stability - Fluent or at least working-level French and/or English 💫 What we love - Powerful team spirit and enjoy working closely with a small, fast-moving team - Strong working motivation - we have a sustained work pace - Proactive and autonomous - “Get it done” attitude with the will to overreach objectives - Rigorous about testing and validating your work before calling it done * * * Déroulement des entretiens - First interview with HR (20 min) - Technical interview with 2 members of the Engineering team (on-site, 1h) - Cultural interview with one of our Founders (30 min) Envie d’en savoir plus ? Rencontrez Carl, Head of Marketing Rencontrez Jean Milpied, Head of Engineering D’autres offres vous correspondent ! Ces entreprises recrutent aussi au poste de “Technology and Data Consulting”. - AI & Data Strategy - Stage Elevate Stage Paris Télétravail fréquent Salaire : 1,5K à 2K € par mois Intelligence artificielle / Machine Learning, Digital Marketing / Data Marketing 120 collaborateurs il y a 5 jours - Consultant.e Data strategy & IA Stages de fin d'études Saegus Stage Paris Intelligence artificielle / Machine Learning, IT / Digital 100 collaborateurs il y a 7 jours - Stage Data Consultant - Paris - H/F/X Artefact Stage Paris Télétravail fréquent Intelligence artificielle / Machine Learning, Digital Marketing / Data Marketing 2 500 collaborateurs il y a 23 jours - Consultant en Stratégie Data IA (H/F) - Stage AI Builders Stage Paris Télétravail fréquent Intelligence artificielle / Machine Learning, IT / Digital 70 collaborateurs le mois dernier Postuler Sauvegarder Je recrute Se connecter Langue (FR) Français English (US) English (UK) Travaille au bureau, mais peut poser quelques jours de télétravail. Généré à partir du contenu de l'offre pour vous aider à trouver le bon job. Peut travailler à distance quelques jours par semaine. Peut travailler à distance quelques jours par semaine. Peut travailler à distance quelques jours par semaine.