Data Engineer

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.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

At Helsing, data lies at the core of our AI capabilities and we put huge emphasis on acquiring real world records to validate our algorithms. You will be given the task of leading, streamlining and automating the data acquisition and labelling process for the development of our AI methods, enabling you to learn how advanced AI algorithms are trained and deployed in real life applications.

Over time you will become a recognised expert at Helsing on how to collect and annotate data most useful for our products and grow your career by working closely with our AI researchers and software engineers.

You will support and develop tooling for the engineering team, for various steps of the data preparation pipeline (collection, annotation, quality control, storage & management of mission critical datasets).

You will use our data annotation platforms and automatic tools to orchestrate campaigns for image / video tagging with metadata and upload them for access by other Helsing engineers.

You will assess, scope, and prioritise requests for data from other teams at Helsing.

Hold a BSc or MSc in computer science, engineering or related field.

Are an independent and creative problem solving skills.

Have excellent communication skills and the ability to report and present science findings clearly and efficiently.

Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++.

We operate at an intersection where women, as well as other minority groups, are systemically 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.

Hold a PhD in computer science, engineering or related field.

Have an interest in computer vision applications.

Have experience in building data acquisition / annotation pipelines for the development of AI algorithms.

Have an interest in defence hardware or previous service in the armed forces.

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-magnitude 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…