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 • Advanced knowledge of Python & PyTorch or JAX • Experience in predictive modeling and efficiency • Solid team collaboration skills • Background in graphics and multi-sensor systems is a plus

Leverage your expertise to revolutionize neural reconstruction and contribute to transformative autonomous technologies. #J-18808-Ljbffr

📌 Lead Research Scientist for Neural Scene Reconstruction and Rendering (Toronto)
🏢 Waabi
📍 Toronto