Visiting Researcher: Neural 3D Modeling & Spatial AI

Meta; Zürich; On-site; CHF 90,000 - 130,000; Part time

Job summary

Meta in Zürich is seeking a Visiting Researcher on a short-term contract to join the Reality AI Research team. The role focuses on building foundation spatial AI models and neural 3D modeling, contributing to a framework that makes imagery and map data spatially understandable, queryable, navigable, and transformable.

The ideal candidate is pursuing a PhD with a track record in CV/ML, capable of prototyping new algorithms, and collaborating with distributed teams to drive significant research

Qualifications

• Pursuing or holding a PhD in CV, graphics or ML.
• Experience with neural 3D representations and neural rendering.
• Proficiency in PyTorch and Python.
• Strong collaboration across distributed teams.
• Evidence of research impact via publications or prototypes.
• Authorized to work in the country at hire.

Responsibilities

• Actively drive and participate in research for foundation spatial AI and neural 3D modeling.
• Develop efficient neural network models for spatially intelligent, photorealistic, dynamic 3D scenes.
• Contribute to the spatial intelligence framework for imagery and map data.
• Contribute research applicable to Meta VR/AR product development.
• Work with the team toward top-tier scientific publications.

Skills

PhD in CV/Graphics/ML

Neural 3D representations

Neural rendering

PyTorch

Python

Cross-functional collab

Publications/prototypes

Work authorization

Education

PhD in CV/Graphics/ML

Job description

Meta in Zürich is seeking a Visiting Researcher on a short-term contract to join the Reality AI Research team. The role focuses on building foundation spatial AI models and neural 3D modeling, contributing to a framework that makes imagery and map data spatially understandable, queryable, navigable, and transformable.

The ideal candidate is pursuing a PhD with a track record in CV/ML, capable of prototyping new algorithms, and collaborating with distributed teams to drive significant research