Ecopia Tech

JOB DESCRIPTION – 3D Computer Vision Engineering Intern

Ecopia AI is an industry-leading AI company specializing in extracting insights from geospatial big data. Millions of geospatial images are captured every day by satellites, airplanes, vehicles, and personal devices – Ecopia converts this flood of pixels into high definition (HD) maps, leveraging AI to empower a wide range of applications such as smart cities, insurance, real estate, autonomous driving and augmented reality (AR).

As an intern, you will have the incredible experience of working alongside our computer vision and engineering experts. You will receive on-the-job training and an abundance of learning opportunities while working on a graduated deliverable system that will challenge your skills. Full-time employment opportunities are available for successful students.

We are looking for talented self-starting engineers, for a preferred term of 12 to 16 months, who enjoy diving into a subject and getting their hands dirty. Ecopia is located in the beautiful MaRS Discovery District building at 101 College Street in Toronto. Come join us on the journey to map the world!


  • Work with the computer vision team to develop algorithms to automatically reconstruct and model 3D built environment, and extract 3D features from multi-view geospatial imagery and/or LiDAR data at a country scale
  • Work alongside the product team to transfer research into new products, new processes, or new business


  • You will work alongside a team leader who will assign regular tasks, weekly meetings to evaluate progress and provide feedback
  • You will have access to attend lunch and learns & networking sessions
  • Work alongside the product team to transfer research into new products, new processes, or new business


  • Background in computer science focusing on deep learning and computer vision, or related field
  • Solid programming experience in C++/Python
  • Demonstrated problem-solving and analytical abilities
  • Experience with GPU computing is a plus
  • Knowledge of deep learning, 3D computer vision, point cloud processing, multiple-view geometry, geo-localization, and sensor calibration is a plus

COMMITMENT TO DIVERSITY AND INCLUSION is committed to fostering a diverse and inclusive working environment. We welcome applications from qualified candidates of all backgrounds regardless of age, physical ability, gender, race, religion, and sexual orientation. We will provide any requested accommodation to candidates with disabilities throughout the recruitment process.

Apply for This Job

Job Overview