AI Research Intern - Computer Vision

Who we are

The role

• As a working student in computer vision research, you will push the current understanding of how advances in the research community can add value to real world applications.

• You will bridge fundamental and applied research with concrete implementations for real-world problems in the defence domain

• Be part of a highly talented, boundary-pushing visual localisation team and work with globally renowned AI experts.

• Your work will contribute to one of the biggest european programmes

• You will work closely with a team based in Munich or Paris, but interact with a broader team all over Europe

• You will propose and evaluate different methodologies to improve mission-critical systems

• You will work as part of a team to deliver high-impact products

The day-to-day

• Research relevant papers in the areas of AI (in particular Computer Vision)

• Conceptualise application of state of the art technologies and discuss them with the team

• Understand advantages and disadvantages of different algorithmic approaches for our product

• Derive requirements regarding software architectures and implement selected software designs

• Summarise findings in clearly understandable documents

• Contribute towards the implementation of the most promising concepts

You should apply if you

• BSc. in Computer Science, Math, or similar

• Currently pursuing a MSc. in Computer Science, Math or similar

• Demonstrated theoretical and practical experience in Computer Vision or SLAM

• Proficient in Python

• Experience with Rust or C++

• Experience with AI frameworks like pyTorch, NumPy, OpenCV

• Experience with software and infrastructure frameworks like Gitlab CI/CD, Docker, Nix, FastAPI

• Ability to work reliably and independently

Note: 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.

Nice to have

• Published a paper, ideally regarding applied Computer Vision at a top-tier conference or journal

• Currently pursuing a PhD

• Experience with Object Detection or DNNs

• Experience in the defense domain and problems

• Experience with working in a fast-paced, high-scale start-up

Join Helsing and work with world-leading experts in their fields

• 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 individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.

What we offer

• A focus on outcomes, not time-tracking

• Social allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled "AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one