Research Engineer, Computer Vision

Want to build vision systems that let machines understand the physical world as naturally as we do?This role sits within a highly technical team developing a new class of computing devices where perception, language, and interaction are tightly integrated. Vision is a core capability. Your work will directly influence how machines see, reason about space, and collaborate with humans in real-world environments.You’ll join a specialist vision group working across 3D computer vision and machine learning. The problems sit at the boundary between learned models and physical reality, including gaze tracking, SLAM, multi-camera geometry, and systems that explicitly model optics, refraction, and light transport. The focus is on geometry-aware, physically grounded approaches rather than purely pixel-driven modelling.This is a hands-on research engineering role. You’ll move between reading papers, building and training models, designing datasets, running controlled experiments, and deploying onto real hardware. You’ll work closely with firmware and hardware teams to ensure models operate reliably on-device.Your work will include:Developing ML models across 3D perception, tracking, and spatial understandingDesigning model architectures, training pipelines, evaluation frameworks, and inference systemsWorking with large-scale, multi-camera and sensor-rich datasetsTranslating state-of-the-art research into robust, production-ready systemsCreating new approaches when existing methods do not meet performance or physical constraintsYou’ll have genuine technical ownership. The team values clear thinking, strong experimental discipline, and the ability to make informed bets on promising ideas.You’ll likely bring end-to-end experience building computer vision and ML models, alongside strong familiarity with modern research in 3D or geometry-aware vision. Hands-on experience with PyTorch or JAX is expected, as is comfort working with complex datasets.A Master’s or PhD is a plus, particularly if you’ve worked on geometry-aware or physically informed modelling approaches.Compensation: $190,000–$320,000 base (depending on experience) + equityBenefits: 401(k) matching, 100% employer-paid health, vision, and dental insurance, unlimited PTO and sick time, medical FSA matchingLocation: San Francisco, on-site collaboration requiredIf you’re motivated by building geometry-aware vision systems that connect AI to the physical world in meaningful ways, we’d like to hear from you!All applicants will receive a response.