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AI Working Student - Computer Vision

Germany, Munich · Job Posted March 26, 2026
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Job Description

At Helsing, we develop the AI-based capabilities and underlying infrastructure that allow systems to operate reliably in highly constrained, complex environments. Embracing the complexity of unfamiliar systems and unorthodox constraints, you will help integrate state-of-the-art AI into real-world applications.

Job Responsibility

  • Contribute directly to impactful projects by writing code and testing it on hardware
  • Collaborate closely with people across several teams and backgrounds
  • Help integrate state-of-the-art AI into real-world applications
  • Support Helsing engineers in preparing and deploying our software and AI capabilities to be showcased in simulations or on real edge systems

Requirements

  • Currently enrolled in a Master’s program in Computer Science, Machine Learning, Robotics, or a related field
  • Eligible to work as a working student, based in Munich
  • Solid programming skills in Rust, C++, Python or Java
  • Strive to write clean, well-structured code
  • Communicate clearly and efficiently in English (and German)
  • Enjoy collaborating with others through code reviews, pair programming, and asynchronous discussions
  • Love figuring things out
  • Dig deeper into unfamiliar systems
  • Not afraid of legacy code
  • Prefer asking questions over stipulating answers

Nice to have

  • Experience building or evaluating AI-based systems
  • Passionate about keeping up to date with current research
  • Enjoy the idea of getting your hands dirty by testing combined software and hardware products end-to-end
  • Comfortable navigating and configuring Linux systems
  • Utilizing scripting languages
  • Foundational understanding of backend concepts (such as network stacks, databases, or interfaces like REST/gRPC)

What we offer

  • A focus on outcomes
  • Regular company events and all-hands to bring together employees as one team across Europe
  • A hands-on onboarding program (affectionately labelled “Infraduction”)
  • The chance to work on exciting, fast-moving projects with other talented researchers and engineers
  • Lots of growth opportunities, multi-disciplinary, a high degree of ownership
  • Work on new problems, pushing the edge of what is possible

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