Description
Who we are
Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
The role
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.
You will be part of a computer vision team specialising in scene understanding and localisation, responsible for building systems for scene matching, geo-registration, simultaneous localisation and mapping (SLAM), and 3D reconstruction.
You will develop and extend state-of-the-art architectures and pipelines, design rigorous experiments, and conduct benchmarks to evaluate and improve real-world performance, including adaptation to the compute constraints and operational requirements of downstream deployments.
You will collaborate across research, engineering, and product teams on high-impact projects.
Typical examples of day-to-day responsibilities include:
- Developing and benchmarking scene matching and geo-registration pipelines robust to challenging conditions such as changes in illumination, viewpoint, season, or sensor modality.
- Building and evaluating SLAM, visual odometry, or structure-from-motion systems for deployable platforms under real-world operational constraints.
- Researching and adapting state-of-the-art geometric deep learning or feature matching methods to concrete use cases, from local feature descriptors to learned place recognition.
- Collaborating with product and downstream deployment teams to integrate localisation and reconstruction outputs into navigation or decision-making pipelines and shape the roadmap for new capabilities.
You should apply if you
- Hold an MSc in computer science, machine learning, robotics, or a closely related field, with experience in designing, implementing, and thoroughly evaluating advanced AI-based systems.
- Have hands-on experience developing localisation, scene matching, or 3D reconstruction systems.
- Are deeply familiar with modern approaches to geometric computer vision and deep learning, including learned feature matching, place recognition, visual SLAM, visual-inertial odometry (VIO), or neural 3D representations such as neural radiance fields (NeRF).
- Possess solid software engineering skills, writing clean and well-structured code in Python.
- Have excellent communication skills and the ability to report and present research findings clearly and efficiently.
Nice to have
- PhD in computer vision, machine learning, robotics, or a related field, with publications in top-tier venues.
- Experience designing, evaluating, and delivering end-to-end AI systems on edge devices with constrained compute resources.
- Experience with simulators, emulators, or synthetic data generation pipelines for geometry or localisation tasks.
- Experience with Rust and/or C++.
What we offer
- Competitive salary and VSOP options
- Relocation support: up to €2,500 and 4 weeks temporary accommodation
- Learning: €500/£450 yearly allowance
- Health & wellness: gym membership and mental health support (Nilo.health)
- Social: regular company events and monthly social allowances
- Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
- Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work