Senior Computer Vision, ML Engineer PhD in CV / AI / Robotics
3D Vision & Multi-Camera Systems
Oxford - hybrid working
c£110-150k DoE + Equity
Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment.
You will work directly with the Founder and technical leaders to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding.
The Senior Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication at leading venues such as ICCV, CVPR, or NeurIPS, where appropriate.
We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.
Founded in 2024, the business focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems for both defence and civilian use. The technology is a real-time, high-resolution passive 3D sensor, based on AI and multi-stereoscopy.
Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system.
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
Responsibilities:
Geometry & Multi-View Vision
* Develop and optimise multi-camera calibration and alignment pipelines
* Design algorithms for multi-view correspondence and reconstruction
* Improve system-level accuracy and robustness across configurations
Applied Research & Innovation
* Explore and implement novel approaches at the intersection of geometry and learning
* Contribute to advancing state-of-the-art perception techniques
* Collaborate on research outputs suitable for top-tier conferences (ICCV, CVPR, NeurIPS) where appropriate
System Integration
* Work closely with ML and systems engineers to integrate perception into deployable systems
* Analyse real-world performance and iterate on failure modes
* Ensure algorithms perform robustly outside controlled environments
Engineering Execution
* Translate research ideas into production-quality code
* Maintain high xsngvjr standards of code quality, testing, and reproducibility
Requirements:
* PhD in Computer Vision, AI, Robotics, Machine Learning, or closely related field
* Strong expertise in multi-view geometry and camera calibration
* Strong experience in 3D vision / reconstruction/ SLAM
* Strong programming skills (Python, Java, C, CUDA and/or C++)
* Demonstrated ability to translate theory into working systems
* Citizenship of a NATO country (required due to project constraints)
Highly Desirable:
* Publications in top-tier venues (ICCV, CVPR, ECCV, NeurIPS, etc.)
* Experience with real-world perception systems (robotics, UAVs, automotive, defence)
* Experience combining geometric and learned approaches