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    Software Development Engineer - Basel, Schweiz - Adobe

    Adobe
    Adobe Basel, Schweiz

    vor 2 Tagen

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    Ganztags
    Beschreibung

    Our Company

    Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

    We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours

    The Opportunity

    The Adobe Experience Manager Sites extensibility team is looking for an open-minded software development engineer who loves to address complexity with simplicity, who sees elegance in extensibility and composition, and who measures the quality of solutions by ease of use.

    If you like to think on a high level and at the same time enjoy working on the smallest implementation details and are passionate about just making things happen, if you dream about big goals but see the next step to achieve them, and if you already have an experience of crafting components or libraries used by other developers you would be a perfect match for this position and our team.

    Together we will design, implement, and bring to life new possibilities to enhance Adobe Experience Manager with generative AI technologies.

    What You'll Do

  • Design, implement, and maintain software applications and systems that use generative AI technologies such as large language models (LLMs) for Adobe Experience Manager.
  • Develop and deliver user interfaces and application components and ensure that they meet the specifications, requirements, and standards of the project.
  • Stay up-to-date with the emerging field of generative AI, and conduct research and experimentation to apply the technology to current and future projects.
  • Collaborate with multi-functional teams including product managers, user experience designers, data scientists, and other engineers to create interactive "copilot" (AI assistants for practitioners) experiences.
  • Apply data-driven approaches to measure and analyze user interactions to gain useful insights.
  • Provide leadership with greater transparency into user engagement metrics that are relevant to business objectives with the use of data visualizations.

    • What you need to succeed

  • Extensive knowledge in Computer Science, Computer Engineering, Information Technology, Software Engineering, or related fields and relevant proven experience (5+ years) in a related Software Development Engineer occupation.
  • 2+ years of professional experience in designing and developing web applications, APIs, frameworks, and libraries.
  • 2+ years of hands-on experience with serverless and distributed systems.
  • 2+ years of hands-on experience with User Interface (UI) and User Experience (UX) development on mobile or frontend development with
  • 2+ experience Adobe Experience Manager
  • Familiarity with Adobe Commerce
  • Practical knowledge of Artificial Intelligence (AI) and Machine Learning (ML).
  • Experience with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Strong background in Natural Language Processing (NLP) and must have published a research paper in a reputable academic journal or conference.
  • Experience participating in a conference related to Machine Learning.
  • Experience with version control systems, such as Git.
  • Solid understanding of Linux/Unix and experience writing scripts.
  • Excellent problem-solving skills and attention to detail.
  • Proven track record of working independently and as part of a team in a fast-paced environment.
  • Excellent communication skills and ability to present sophisticated concepts to technical and non-technical stakeholders with insightful data analysis.
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