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Lead Research Scientist for Neural Scene Reconstruction and Rendering
Waabi
Full-time
toronto, on
Other-General
Posted:
May 25, 2026
Location:
toronto, on, Canada
Job Description
Take the lead as a Research Scientist in Neural Reconstruction, crafting innovative solutions for 3D dynamic environments. Focus on advanced algorithms to bridge real-world sensor data with immersive digital landscapes.
In this influential role, you will spearhead research in representation learning and simulation systems for urban dynamics. Collaborate with a team of experts to integrate scalable reconstruction models, publish in esteemed conferences, and mentor the next generation of scientists. Your contributions will significantly impact autonomous transportation technology and digital scene understanding.
Key Responsibilities:
• Research into neural scene representation and reconstruction
• Build scalable systems for complex urban scenes
• Work with engineers on distributed training integration
• Present at top-tier conferences in the field
• Mentor interns and junior researchers
Requirements:
• Ph.D. in Computer Vision, Machine Learning, or similar
•...
In this influential role, you will spearhead research in representation learning and simulation systems for urban dynamics. Collaborate with a team of experts to integrate scalable reconstruction models, publish in esteemed conferences, and mentor the next generation of scientists. Your contributions will significantly impact autonomous transportation technology and digital scene understanding.
Key Responsibilities:
• Research into neural scene representation and reconstruction
• Build scalable systems for complex urban scenes
• Work with engineers on distributed training integration
• Present at top-tier conferences in the field
• Mentor interns and junior researchers
Requirements:
• Ph.D. in Computer Vision, Machine Learning, or similar
•...
Apply for this Job
Submit your application for the Lead Research Scientist for Neural Scene Reconstruction and Rendering position at Waabi.
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Job Type:
Full-time
Location:
toronto, Canada
Posted:
May 25, 2026
Deadline:
July 04, 2026