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AI Engineer Intern

Nodalview
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Stage
Il y a 12 jours

Qualifications

Français
PyTorch
Git
Anglais
Niveau Bac
Deep learning
Intelligence artificielle
Python

Description complète du poste

The way people buy property has changed. Buyers scroll, compare, and decide in seconds, mostly from their phones. To win listings and close deals, real estate professionals now need a new visual standard. That's where Nodalview comes in. Our AI-powered platform helps them create standout listings: high-quality visuals, immersive content, and smart insights that attract more buyers, generate more leads, and close deals faster. It's working, and it's fueling a fast phase of growth. In the past 12 months, we've completed three strategic acquisitions, broadening our product and strengthening our position as a leading PropTech player.

Today, 22,000+ real estate professionals across 30 countries use Nodalview to market properties and grow their business. Behind them is an international team of 50+ people working from our offices in Brussels (HQ), Paris, and London, backed by investors from Belgium, the UK, and Spain.

And that team works differently: AI isn't just in our product, it's how we work. We put the latest AI tools in everyone's hands, encourage people to experiment, and move faster because of it. If you want to work at the frontier of what's possible, you'll feel at home here.

If you're looking for a place to grow, take real ownership, and help build the future of PropTech, we'd love to welcome you as our next AI Engineer Intern in Paris.

Some of the things you could work on

Build image generation and editing pipelines with diffusion models: object removal, virtual staging, sky replacement, and many more.
Adapt state-of-the-art generative models to the real estate domain through parameter-efficient fine-tuning methods, mainly LoRA.
Evaluate and benchmark image generation models, including our models and off-the-shelf API-based solutions.
Apply vision-language models to image and video understanding: scene analysis, captioning.
Follow the latest research and bring new ideas to the AI team.
Take end-to-end ownership of your projects: from idea, to fine-tuning and evaluation, to production with latency and cost optimization.
Work in collaboration with the backend and product teams, and your work ships to real users.

Who are we looking for?

You are comfortable with Python and PyTorch, and you write clean code.
You have hands-on experience with deep learning for computer vision and natural language processing (VLMs, diffusion models).
You're curious about new model releases and enjoy experimenting with the latest diffusion models.
You've heard of ComfyUI and maybe built a workflow (a plus).
You can go from an idea or a paper to working, tested code.
You have experience with version control tools like Git.
You're comfortable with AI-assisted development.
You take initiative and you're a fast learner.
You communicate professionally in English (French is a plus).
You are willing to join a team based in Paris.
You are a student and your school can provide an internship agreement.
Start date: September or October 2026.

Want to know if you’d feel at home at Nodalview?

Check out our values:

Be passionate - We love what we do
Keep it simple - We focus on the essence and continuously improve
Go for excellence - We set the bar high and aim to be industry leaders
Deliver awesomeness - Putting a smile on our customers' faces is what keeps us going
Win together - We trust each other, care for each other and we work together, always

What we offer

Career Kickstart - More than an internship: an opportunity to gain hands-on experience in a fast-growing, AI-driven scale-up and accelerate your professional development from day one.

‍ Real Impact - Join a rapidly growing SaaS company where your ideas matter, your work is valued, and you'll contribute to meaningful projects with concrete business impact.

Learning & Mentorship - Benefit from continuous guidance and support throughout your internship, helping you develop new skills, build confidence, and grow professionally.

Team & Culture - Work alongside a talented, international, and open-minded team that loves collaborating, sharing knowledge, and celebrating successes together.

Workplace & Flexibility - Enjoy hybrid working, combining homeworking with time spent in our Paris office.

Sport & Wellness - Multiple benefits to support your energy, well-being, and work-life balance.

Whoever you may be: regardless of age, ethnic origin, sexual orientation, gender, religion, disability, background, or identity, we’d love to hear from you. If you need any adjustments during the interview process, let us know and we’ll accommodate.

Have a Question?

Feel free to e-mail us at [email protected] if you have any question or remark.
Please bear in mind that for most of our open positions, we are receiving a lot of applications. Because of this, we unfortunately can’t always provide you with individual feedback concerning your application. If you’d like more feedback on your application, feel free to contact us.

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deep learning computer vision engineer emplois - paris, a8

AI Engineer Intern

Senior Machine Learning Scientist - Foundation Models

Senior Signal Processing Engineer

Signal Processing Engineer

Backend Software Engineer III, Monk

Backend Software Engineer, Monk

Post-Doctoral Research Visit F/M Embedded Systems, Neural Networks and Privacy-preserving Embedded Edge AI Techniques

Consultant AI Engineer Senior - F/H/N

Sr Engineer, Software Backend

Head of GenAI Platform

Chief AI Officer - Groupe HARVEST - Paris - H/F

Consultant.e Confirmé.e – Data Science & IA (H/F)

Data Scientist Senior - H/F

Lead/Principal AI Tech Architect — Paris | BCG Platinion

Data Scientist Senior F/H

Product Owner / SME AI - F/M/X

Consultant Product Owner IA Senior - H/F - CDI

Lead AI Tech Architect - Enterprise Solution (ERP Transformation) — Paris | BCG Platinion

Senior Solution Architect

Data Labeling Lead

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

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