I
AI

ML Engineer

InteractionLabs · Paris, A8, FR

Actively hiring Posted 30 days ago

We're looking for a new ML intern that will ship the software layer behind hundreds of thousands of robots in the wild. You'll work on the stack end to end and move fast: prototype on Monday, in customers' hands by Friday.

You will work on

  • Edge ML for Robotics: fine-tuning and deploying computer vision and audio models on-device for real-world robotics use cases.
  • Core Library Development: refactoring, managing, and improving the core library's API, architecture, and infrastructure to ensure it is robust, scalable, and easy to use.
  • Feature Development & Exploration: driving the development and shipment of robust new features, and actively exploring and integrating new technologies relevant to AI and Robotics.
  • Infrastructure & Benchmarking: implementing and maintaining integrations with LLM and audio model providers.

You are

  • Someone with a Master's degree or PhD (or equivalent) in Computer Science, Machine Learning, or a related field.
  • Experienced in fine-tuning models, running them locally, and using them to solve real-world problems.
  • A hands-on builder who likes experimenting with APIs and is always prototyping something.
  • Passionate and opinionated about technology and design.
  • Always working on a side project and exploring the latest tools.
  • Someone with a chip on their shoulder who gets a thrill from proving doubters wrong.
  • Someone who loves good food and has strong opinions on the best restaurant within 2km.

How to apply

Shoot us an email at [email protected] with your resume and a few bullet points on why you'd be a great fit for the team. Feel free to highlight relevant experiences and projects. If someone referred you, include their name.

If there's something unique about you, tell us. The clearer and more concise, the better. And let us know your expected start date.

Send application to: [email protected]: Founding ML Engineer.

Open application

If this exact role doesn't fit you and you think you'd be a great match for InteractionLabs, we'd still love to hear from you.

Shoot us an email at [email protected] and tell us what you have in mind, who you are and what you'd want to build with us.

Type d'emploi : Temps plein, Stage

Rémunération : 20 000,00€ à 35 000,00€ par an

Avantages :

  • Travail à domicile occasionnel

Lieu du poste : En présentiel

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Internship Remote Ai Machine Learning Computer Vision Robotics Generative Ai

Next step

Ready to Join the Team?

Apply once with DevFound. We'll route your profile to InteractionLabs and keep you informed when matching AI roles go live.

  • Single profile, multiple curated AI opportunities
  • No spam roles — only vetted AI positions
  • You choose which roles to apply to
Sign up to apply

No CV uploads. We never share your profile without your consent.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.