Software Engineer iOS (m/w/d)

Nect GmbH Hamburg

Stellenbeschreibung:

At Nect, we pride ourselves on the quality and user-friendliness of our products. Beneath the accessible interface lies a complex system that meets security, compliance, and technological standards. Machine learning is integral to creating value for our users.

If you are passionate about iOS development, eager to build reliable, fast, and secure apps, and interested in leveraging ML models and computer vision on mobile devices, we invite you to join our world-class team!

Our iOS app is crucial in guiding users through complex processes related to compliance, security, and technology. We aim to make navigation seamless, with our technology handling complex decisions. Future integration of computer vision and machine learning on mobile devices will further enhance user experience.

As part of our Engineering team, you will collaborate daily with Product Managers, QA Managers, and our Computer Vision and Machine Learning experts to build the best identification app on the market!

You are responsible for:

Product development

  • Collaborating with our product team to develop new features and improve existing ones to enhance user and customer experience

Understanding our apps

  • Helping our team understand app behaviors
  • Integrating metrics, validating assumptions through data, and identifying issues

Enhancing security

  • Implementing methods like Apple App Attest to verify device authenticity
  • Participating in an ongoing security arms race

Improving UX

  • Focusing on details that significantly impact user experience

Mastering network communication

  • Ensuring robust communication between the app and backend systems

Utilizing ML models

  • Applying our expertise in computer vision and machine learning on mobile devices
  • Using this technology to enhance user experience
  • Contributing to Nect's growth in this innovative field
You bring:
  • At least 3 years of experience in iOS software engineering
  • Strong communication skills
  • Excellent collaboration abilities
  • Experience in ML or CV is a plus
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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    Hamburg

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