AI Research Engineer - Reinforcement Learning

AI Research Engineer - Reinforcement Learning

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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.

At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks.

You will be part of a team focused on reinforcement learning, where you will design, train and deploy agents in complex multi‑agent environments.

You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi‑agent reinforcement learning.

You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting‑edge ML/AI in our production systems.

• Hold MSc in machine learning with a speciality in either reinforcement learning, multi‑agent systems, automation and control, or robotics.
• 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 or 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 reinforcement learning, multi‑agent systems, automation and control, robotics, or related fields and have authored publications in top‑tier journals and conferences (e.g., NeurIPS, ICML, ICLR, AAMAS).
• Experience with large‑scale RL training.
• Experience modelling and training multi‑agent controllers using state‑of‑the‑art tools and techniques.
• Experience deploying AI software to production including testing, quality assurance, and monitoring.

• 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 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…