R&D Computer Vision Intern

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

Preferred experience

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

Recruitment process

• 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)