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
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
- 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)