Computer networking Jobs in Toronto, ON

Ecopia AI’s mission is to create a digital twin of the Earth. Billions of geospatial images are captured every day by satellites, airplanes, vehicles, and personal devices. Ecopia leverages AI to convert high‑resolution images of our earth into high‑definition (HD) Vector Maps. These maps form a digital representation of reality and are embedded into critical decision‑making applications, offering unique insight at scale. Ecopia’s HD Vector Maps empower a wide range of applications such as smart cities, insurance, real estate, retail, manufacturing, utilities, logistics, autonomous driving, and augmented reality (AR).

We’re seeking a passionate, talented engineer to join us at our Toronto office. You will have the incredible experience of working alongside our computer vision and engineering experts. Your work will have a direct impact on our end products, which empower various real‑world applications on a scale never thought possible. The position is permanent, full‑time and will have a highly competitive salary, annual salary increases and bonuses.

We are looking for talented self‑starting engineers who enjoy diving into a subject and getting their hands dirty. With Ecopia’s flexible hybrid remote working environment, it’s your choice to work from home and / or our office, located in the beautiful MaRS Discovery District building at 101 College Street in Toronto. Come join us on the journey to map the world!

KEY RESPONSIBILITIES

Develop deep learning algorithms and build software systems to automatically reconstruct 3D built environments and understand 3D contents from geospatial image data captured by satellites, airplanes, drones, vehicles, and smartphones at a country‑scale

Collaborate with the product team to transfer research into products that empower various real‑world business applications

QUALIFICATIONS

Master's or Ph.D. in Computer Science or related field, or equivalent experience

2+ years of programming experience in C / C++ / Python

Deep understanding of algorithms and data structures

Research experience in machine learning and / or computer vision and / or 3D applications

Hands‑on experience with deep learning

NICE TO HAVE

Hands‑on experience and theoretical understanding of multiview geometry and 3D computer vision

Hands‑on experience with projects involving feature extraction, image matching, simultaneous localization and mapping (SLAM)

Publications at top venues, e.g. CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, …

COMMITMENT TO DIVERSITY AND INCLUSION

Ecopia 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.

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