• Academic Track Record: PhD (or Master's with equivalent research experience) in Computer Vision, Machine Learning, or a related discipline. Published work at leading journals or conferences is considered a strong plus.
• Core CV & Spatial AI: Deep expertise in areas such as metric learning, multi-view geometry, depth estimation, 3D scene understanding, rendering techniques, feature-based tracking, self-supervised learning, or learning-based mapping and localisation.
• Engineering Rigor: Strong Python and PyTorch skills; ability to write testable, production-quality code and participate actively in code reviews.
• Autonomy: Capable of independently formulating research problems, defining technical direction, and communicating findings clearly in both writing and discussion.
• Accessibility and inclusivity
• At Augur, our culture is built on radical candor and mutual trust. To solve the complex, physical-world problems our customers face, we need a team that thinks differently.
• Whether you’re self-taught, have a non-traditional background, or are returning to the workforce, if you have the grit and the experience we’re looking for at Augur, we’d love to hear from you.
• We are committed to fostering a diverse workplace and ensuring an accessible hiring experience - please let us know if you require any accommodations during the interview process to help you do your best work.