Responsibilities:

As an R&D Computer Vision Engineer, you will be part of the R&D Team to contribute to a diverse range of projects, including improving Inbolt’s tracking algorithms (accuracy, reliability, and frame rate) and applying insights from cutting-edge research papers to robotics applications.

You key duties will include:

• Explore various state-of-the-art Computer Vision & Machine Learning techniques and architectures and lay out a literature study.

• Design, develop, and implement state-of-the-art algorithms.

• Benchmark the performance of our algorithms.

• Stay on the bleeding edge of research and participate actively in the community (Scientific papers, patents).

• You will work hand to hand with robotics and operational teams, to deploy innovative Computer Vision solutions for customers.

Benefits

• Prime office location in the heart of Paris, near Bourse.

• Stock options package.

• Generous remote-work policy.

• Regular team-building activities and off-site events.

• Weekly “share times” for knowledge sharing.

• Sponsored Gymlib access for convenient and affordable sports options.

• Swile card for lunch expenses.

Start date: ASAP.

Location: Paris - This position will be based in our office at 12 rue Vivienne, 75002 Paris.ts)

Required Skills

• Python (torch, TensorFlow, or similar is appreciated).

• Deep Learning and Computer Vision knowledge, with one solid first experience in the field of computer vision (1 to 3 years).

• Commitment to maintaining high code quality and stability.

• Proficiency in English.

Preferred Qualities

• Strong team spirit and collaboration skills.

• Excellent problem-solving abilities.

• Enthusiastic, hands-on approach.

• Proactive and autonomous with a “get it done” attitude and a drive to exceed objectives.

To apply, please send your resume to hr@inbolt.fr or apply directly via the WTTJ website.

1. Initial interview with Marion, our Chief of Staff.

2. Technical interview with the technical team.

3. HR interview with the co-founders.

The entire recruitment process is designed to be completed within two weeks.