niantic-spatial - 3D Computer Vision Research Engineer, Geospatial Visual Localization
Requirements
• Strong grounding in 3D computer vision, deep learning, robotics, photogrammetry, or a closely related field. • Demonstrated experience with multi-view geometry and related problems, such as camera pose estimation, monocular depth estimation, SfM, SLAM, georeferencing, point-cloud registration, or sensor fusion. • Knowledge of transformer models for 3D vision, such as vision foundation models, feed-forward 3D reconstruction, or multi-view and multi-modal attention. • Knowledge of geospatial data and coordinate reference systems. • Ability to formulate ambiguous real-world problems, choose appropriate mathematical or learning-based tools, and evaluate solutions rigorously. • Strong Python skills and experience training deep learning models at scale, with libraries such as PyTorch, NumPy, and SciPy. • Strong software engineering skills, with the ability to turn research prototypes into reliable, scalable, and maintainable systems. • Experience taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. • Clear written and verbal communication and the ability to collaborate across research and engineering disciplines. • A PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field, or equivalent research or industry experience. A PhD is not required. • A strong publication record or substantial active involvement in the research community, especially at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia, 3DV, ICRA, RSS, or related conferences and journals. • Experience with aerial or satellite imagery, GNSS/GPS, IMUs, LiDAR data, geodesy, mapping systems, or large-scale spatial data. • Evidence of technical leadership, mentorship, or successful cross-functional delivery. • EQUAL OPPORTUNITY
Responsibilities
• Design, implement, and evaluate novel visual localization algorithms, combining 3D vision and deep learning. • Train large models on multi-modal data at scale, and build the benchmarks that measure their accuracy and robustness. • Develop robust solutions for difficult real-world conditions: noisy or denied GPS, changing appearance, varying capture quality, large geographic extents, and imperfect reference maps. • Work side-by-side with leading researchers in visual localization, 3D computer vision, and mapping, as well as engineering and product teams, to identify the highest-impact problems and turn research into end-to-end solutions that operate at production scale. • Communicate results clearly through technical writing, design reviews, internal presentations, and publications.
Benefits
• Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. • LOCATION & WORK MODEL • This role is based in our London office, with three days per week in office. • INCLUSIVE APPLICATION
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