AI Research Engineer - RL Evaluation and Assurance

Who we are

The role

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.

We are looking for a technical leader passionate about ensuring safe and reliable deployment of cutting edge RL systems in high stakes environments.

The day-to-day

• You will lead the research and development of verification and validation for performance and robustness of reinforcement learning based systems. 

• You will conduct research to develop novel safety guarantees and performance evaluation approaches for RL systems operating in dynamic and uncertain environments.

• You will develop and advance the state-of-the-art for evaluating performance, robustness, and reliability of multi-agent RL systems.

• You will design and implement RL evaluation frameworks.

• You will publish and present research to contribute to advancing the field of RL safety and robustness.

You should apply if you

• Hold a MSc in artificial intelligence, machine learning, computer science or related field with experience in conceptualising, implementing and thoroughly evaluating advanced AI-based systems

• You have advanced knowledge of reinforcement learning (RL), including multi-agent systems / applications in robotics.

• Have a proven experience in benchmarking and evaluating RL-based systems in practice.

• Have authored publications in top-tier journals and conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CoRL).

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

• PhD in artificial intelligence, machine learning, computer science, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS)

• Demonstrated experience in safety-critical system design and assurance processes.

• Background in formal verification or probabilistic safety guarantees.

• Familiarity with V&V for autonomous systems (e.g., automotive, aviation, healthcare).

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

• Competitive compensation and stock options

• Relocation support

• Social and education 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