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AI Research Engineer - Robotics

Helsing · Barcelona, Spain

Confidence
Low confidence
Posted
Oct 2024 · long-running posting
First seen
24 Oct 2026
Last checked

Evidence

Low confidence

The posting offers relocation help but doesn’t mention a visa. Ask the recruiter before you apply.

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Spain has no public sponsor register, so this listing relies on the posting.

Job posting

Relocation support : up to €2,500 and 4 weeks temporary accommodation

On helsing.ai, read 26 Oct 2026.

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First seen 24 Oct 2026. We check every day and remove closed roles.

Where you apply

helsing.ai

Helsing’s job board.

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About the role

Who we are 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.

The role At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness. You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short.

Read the full posting

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