AI Research Engineer - 3D Computer Vision

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.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

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 develop computer vision models and pipelines that leverage and extend the latest state‑of‑the‑art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real‑world scenarios.

You will also apply and develop techniques to adapt them to the target hardware and constraints associated to the downstream ML/AI tasks.

You will contribute to impactful projects and will collaborate with people across several teams and backgrounds.

• Hold an MSc in computer science, machine learning, robotics or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI‑based systems
• 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/extending papers on state‑of‑the‑art Deep Learning‑based approaches
• Possess solid software engineering skills, writing clean and well‑structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring

Note:

We operate at an intersection where women, as well as other minority groups, are systematically under‑represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

• PhD in computer vision, machine learning, robotics, or related field and have authored publications in top‑tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)
• Experience with object detection and categorisation, single and multi‑object tracking, scene understanding and matching, 3D
• Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end‑to‑end product delivery
• Experience with simulators, emulators, or synthetic data generators

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental:
  Helsing is part of, and often leading, historic leaps forward.
• In our domain, success is a matter of order‑of‑magnitudes improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are…