We are looking for a research developer to join our team and contribute to cutting-edge work in deep learning for physical-digital fusion, semantic 3D reconstruction, and autonomous agents. We welcome applicants who have earned or are in the advanced stages of completing an MSc degree in computer science or a related field.

We value a broad range of skills. You don’t need to meet every requirement to apply — if you’re excited about the role, we want to hear from you.

General qualifications (a combination of the following):

Strong theoretical foundation in machine learning and deep learningExperience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and/or classical data science techniques, including analysis of visual or time series dataPractical knowledge of image and video processing tools (e.g., OpenCV)A proactive, analytical approach to problem solving and a collaborative, can-do attitude

Specific qualifications (any of the following are a plus):

Experience with neural reconstruction (e.g., NeRF, Gaussian splatting)Interest or background in semantic 3D reconstructionFamiliarity with SLAM, visual positioning, or camera calibrationSoftware development experience in Python and C++Skills in frontend development for displays, mobile, AR/VR headsets, or both web-based and standalone platforms (e.g., Unity)

As part of our team, you will:

Collaborate closely with world-class researchers, fostering continuous learning and innovationLearn and implement cutting-edge AI and computer vision algorithmsDevelop and adapt AI models for use in research prototypesCreate visualizations and build frontend/backend applications for spatial computing use casesConduct user studies focused on design, interaction, and user acceptanceSupport the creation of scientific publications and invention disclosuresPresent your work to fellow researchers, leadership, and business stakeholders