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