AI Research Intern (PhD) - Generative AI

Who we are

The role 

• As an intern, 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.

• 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 Generative AI, Computer Vision, and Computer Graphics).

• Conceptualise applications 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

• Currently pursuing a PhD in Generative AI, Computer Vision, or Computer Graphics.

• Experience with at least one of the listed topics: Diffusion models, 3D generative models, NeRFs, gaussian splatting, sim-to-real domain adaptation.

• Proficient in Python.

• Experience in developing AI/ML algorithms with a focus on synthetic data generation.

• Experience with AI frameworks like PyTorch, NumPy, OpenCV.

• Experience with software and infrastructure frameworks like Git and Unix.

• Ability to communicate ideas clearly and 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 ML/AI paper at a top-tier conference or journal (e.g., NeurIPS, CVPR, ICLR, etc.).

• Experience in working in a collaborative and fast-paced environment.

• Skills in developing quick prototypes to test and iterate on new ideas.

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