Staff AI Research Engineer: 3D Vision & SLAM Expert

Helsing; Greater London; Sur place; GBP 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Relocation support

Learning allowance

Health & wellness

Résumé du poste

Helsing is seeking mission-driven engineers to join its European AI team focused on scene understanding, localisation, and 3D reconstruction for defence applications. You will develop computer vision models, benchmark pipelines, and adapt methods to compute-constrained hardware while collaborating with research, engineering, and product teams.

The role offers the chance to shape AI capabilities in high-stakes environments, contribute to robust real-world deployments, and engage with cutting-edge

Qualifications

• 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. You have iterated on models and geometric pipelines beyond benchmarks and understand what it takes to make these systems reliable under real-world data distributions and deployment constraints.
• 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), and have applied techniques such as domain adaptation or model compression to practical problems.
• Possess solid software engineering skills, writing clean and well-structured code in Python, and have experience deploying AI software to production including testing, QA, and monitoring.
• Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.
• Are passionate about keeping up to date with current research and enjoy reimplementing and extending state-of-the-art approaches in geometric deep learning, SLAM, and 3D vision.

Responsabilités

• 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.

Connaissances

Geometric deep learning

SLAM

3D reconstruction

Python programming

Production deployment

Communication

Formation

MSc in CS/ML/Robotics

PhD in CV/ML/Robotics (nice to have)

Outils

Python

C++

Rust

Description du poste

Helsing is seeking mission-driven engineers to join its European AI team focused on scene understanding, localisation, and 3D reconstruction for defence applications. You will develop computer vision models, benchmark pipelines, and adapt methods to compute-constrained hardware while collaborating with research, engineering, and product teams.

The role offers the chance to shape AI capabilities in high-stakes environments, contribute to robust real-world deployments, and engage with cutting-edge