AI Research Intern

Hace 6 días
Barcelona, Cataluña, España helsing.ai Jornada completa
AI Research Intern (PhD) – 3D Computer Vision ~ Intern Helsing is a defence AI company. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore how novel approaches can push the state of the art. You will join our Spatial Intelligence Team, which builds systems for scene matching, geo-registration, simultaneous localisation and mapping (SLAM), visual-inertial odometry (VIO), and 3D reconstruction. You will investigate how the latest advances in the research community can add value to deployable systems, prototype the most promising ideas, and evaluate them rigorously under real-world data distributions and compute constraints. Survey and critically assess state-of-the-art research in geometric computer vision, feature matching, place recognition, and SLAM/VIO. Are currently pursuing a PhD in computer vision, machine learning, robotics, or a closely related field. Have demonstrated theoretical and practical experience in localisation, scene matching, SLAM, visual odometry, or 3D reconstruction. Are proficient in Python and experienced with AI frameworks such as PyTorch. Have experience with Rust or C++. Are able to work reliably and independently, and enjoy turning research ideas into working code. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. Experience with learned feature matching, place recognition, VIO, or neural 3D representations (e.g. Experience with model compression or domain adaptation for compute-constrained or edge deployment. Experience with simulators, emulators, or synthetic data generation for geometry or localisation tasks. You will face unique Engineering and AI challenges that make a meaningful impact in the world. Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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