About Exodigo:

Exodigo is a pioneering company transforming the field of underground mapping through advanced technology. Our innovative approach combines multi-sensor data fusion, AI, and 3D imaging to create highly accurate subsurface maps. We work with leading companies in energy, utilities, transportation, and construction across the globe. Join us to contribute to groundbreaking projects that save time, money, and lives while protecting the environment.

Role Overview:

As a Computer Vision Engineer at Exodigo, you will be a crucial part of our newly established CV team, developing and implementing cutting-edge computer vision algorithms and systems. You will have the unique opportunity to grow within the team and take on significant responsibilities, including designing systems from scratch. Your work will focus on processing and analyzing complex multisource data to enhance our subsurface mapping technology. This role requires a deep understanding of computer vision, machine learning, and data processing techniques.

Key Responsibilities:

• Develop and implement computer vision algorithms for processing and analyzing multisource data.
• Implement both classical and deep learning computer vision algorithms to enhance data analysis and mapping accuracy.
• Collaborate with cross-functional teams to integrate computer vision solutions into our AI-powered mapping platform.
• Conduct research and stay up-to-date with the latest advancements in computer vision and machine learning.
• Contribute to the design and development of new features and functionalities for our mapping technology.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 5+ years of experience in computer vision and image processing.
• Proven experience in implementing CV production pipeline.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as PyTorch, OpenCV, SK-learn etc...
• Bonus - knowledge of 3D point cloud reconstruction techniques.
• Bonus - experience with AWS systems
• Bonus - experience with GIS and geolocated tools