Computer Vision Engineer

Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors.

We are experiencing sky-rocketing growth and closed a historically large $105M Series A round in February of 2024.

Our Algorithms team, a highly multidisciplinary group, is at the heart of our data processing and detection capabilities, encompassing physics, signal processing, classical algorithms, and AI models tailored to our unique requirements.

Job description:

As a Computer Vision Engineer at Exodigo, you will develop advanced tools to automate the analysis workflows for our data. You will be at the forefront of creating algorithms that utilize machine learning and deep learning techniques to enhance the accuracy and efficiency of above ground data interpretation. Collaborating closely with the analysis team, you will integrate the tools you develop into the analysis pipeline, improving their ability to derive actionable insights from above-ground images. Additionally, you will work alongside software engineers to quickly integrate your code into our production process.

Key Responsibilities:

• Research and implement advance computer vision algorithms to automate the analysis pipeline
• Design and maintain the team's codebase to support the development and evaluation of new models, conduct research and perform benchmarking activities
• Work closely with the maps analysis team to evaluate the algorithms performance
• Collaborate with software team to integrate algorithms into production
  
  

• 5+ years of experience in computer vision algorithm development
• Extensive knowledge in machine learning architectures and latest developments (especially in computer vision but not only)
• Experience with machine learning frameworks
• Strong proficiency in Python, including Numpy, Scipy, PyTorch, etc
• B.Sc. in technical field such as Electrical Engineering, Computer Engineering, Computer Science or similar
  
  

• M.Sc. in relevant field
• Experience in aerial/orthophoto/satellite image analysis, geolocation, depth detection, localization, sensor fusion, or similar tasks
• Working with LiDAR sensors
• Experience in cloud environment development (AWS)