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Staff AI Research Engineer - 3D Computer Vision

Helsing· AI & Engineering
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Hybrid (Berlin; London; Munich; Paris)Full-timePosted 3mo ago

About the role

Staff AI Research Engineer focusing on 3D computer vision, SLAM, and scene understanding within Helsing’s defence AI program. Role involves developing and benchmarking AI-based scene matching, geo-registration, SLAM, and 3D reconstruction pipelines, adapting methods to hardware constraints, and collaborating across research, engineering, and product teams.

Responsibilities

  • 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.

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.
  • Hands-on experience developing localisation, scene matching, or 3D reconstruction systems; experience iterating on models and geometric pipelines beyond benchmarks and deployment constraints.
  • Deep familiarity 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 (e.g., NeRF); experience with domain adaptation or model compression.
  • Solid software engineering skills in Python with experience deploying AI software to production including testing, QA, and monitoring.
  • Excellent communication skills for reporting research findings clearly and efficiently.
  • Passion for staying up to date with current research and reimplementing/extending state-of-the-art approaches in geometric deep learning, SLAM, and 3D vision.

Skills

Required:MSc in computer science, machine learning, robotics, or related fieldLocalization, scene matching, or 3D reconstructionGeometric computer vision and deep learningPython software engineering

Benefits

  • Competitive salary
  • 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
Last updated Oct 13, 2026. Interested? Apply on the company site.

About Helsing

Helsing | Artificial intelligence to protect our democracies

AI for electronic warfareAI-enabled precision mass and autonomous systemsAutonomous air dominanceMass defence manufacturingRecce strike softwareUnderwater autonomous massliquid-ai-recruiting-target
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