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AI Research Engineer - 3D Computer Vision

2 months ago
United Kingdom, Germany
Full-time
Mid Level
AI Engineer
Software Development
C++ Computer Vision Deep Learning Generative AI Machine Learning Neural Networks Python Reinforcement Learning Rust
Apply Now
Helsing

Helsing

Helsing is a security and AI company committed to safeguarding democracies through cutting-edge technology, emphasizing ethical standards and global leadership in real-time information processing.

Aerospace & Defense
51-250
Founded 2021
$343M raised
View All Jobs 19

Description

  • Develop computer vision models and pipelines for scene understanding and localization.
  • Build and benchmark scene matching and geo-registration systems robust to changing real-world conditions.
  • Develop and evaluate SLAM, visual odometry, and structure-from-motion systems for deployable platforms.
  • Research and adapt state-of-the-art geometric deep learning and feature matching methods to practical use cases.
  • Design rigorous experiments and conduct benchmarks to measure and improve system performance.
  • Adapt models and pipelines to target hardware and downstream deployment constraints.
  • Collaborate with research, engineering, product, and deployment teams on high-impact projects.
  • Integrate localization and reconstruction outputs into navigation and decision-making pipelines.
  • Report and present research findings clearly to internal and external stakeholders.

Requirements

  • MSc in computer science, machine learning, robotics, or a closely related field.
  • Experience designing, implementing, and thoroughly evaluating advanced AI-based systems.
  • Hands-on experience with localization, scene matching, or 3D reconstruction systems.
  • Experience making models and geometric pipelines reliable under real-world data distributions and deployment constraints.
  • Deep familiarity with geometric computer vision and deep learning methods such as learned feature matching, place recognition, visual SLAM, VIO, or NeRF.
  • Experience applying domain adaptation or model compression to practical problems.
  • Solid software engineering skills and clean, well-structured Python code.
  • Experience deploying AI software to production, including testing, QA, and monitoring.
  • Strong communication skills for presenting research findings clearly and efficiently.
  • Passion for staying current with research and reimplementing and extending state-of-the-art approaches in geometric deep learning, SLAM, and 3D vision.
  • PhD in computer vision, machine learning, robotics, or a related field, with publications in top-tier venues such as CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, or ECCV (preferred).
  • Experience delivering end-to-end AI systems on edge devices with constrained compute resources (preferred).
  • Experience with simulators, emulators, or synthetic data generation pipelines for geometry or localization tasks (preferred).
  • Experience with Rust and/or C++ (preferred).

Benefits

  • Competitive salary and VSOP options.
  • Relocation support of up to €2,500 plus four weeks of temporary accommodation.
  • €500/£450 yearly learning allowance.
  • Gym membership and mental health support through Nilo.health.
  • Regular company events and monthly social allowances.
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers.
  • 5 days of paid family emergency leave.
  • 100% remote work option during pregnancy and phased return to work.

Interested in this position?

Apply directly on the company website

Apply Now

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