Working Student AI Full Stack Engineer (m/f/d)

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  "active_status": "active"
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  "language": "en",
  "location": {
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    "country": "Berlin",
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{
  "id": "2633368",
  "name": "Working Student AI Full Stack Engineer (m/f/d)",
  "office": "Berlin",
  "keywords": [],
  "schedule": "part-time",
  "createdAt": "2026-05-13T11:52:41+00:00",
  "seniority": "student",
  "department": "MxM - Engineering Department",
  "occupation": "general_and_other_engineering",
  "subcompany": "Merantix Momentum",
  "employmentType": "intern",
  "jobDescriptions": [
    {
      "name": "What we do",
      "value": "Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including automotive, manufacturing, retail, healthcare and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions."
    },
    {
      "name": "Your role",
      "value": "<p>As a Working Student in our Full Stack team, you'll contribute directly to the development of AI-powered applications. It will be no toy projects, it will be real production code. You'll work alongside senior engineers and get hands-on experience building the interfaces and backend systems that bring machine learning to life.</p><p>Your main responsibilities will be:</p><ul><li>Support the development of frontend components and backend services for AI-powered applications</li><li>Contribute to API development (REST/GraphQL) and database work under senior guidance</li><li>Participate in code reviews and team rituals (stand-ups, sprint planning, retrospectives)</li><li>Help maintain documentation and improve developer tooling</li></ul>"
    },
    {
      "name": "Your profile",
      "value": "<p>You are a great fit for our team if you bring these qualifications:</p><ul><li>Currently enrolled in a BSc or MSc program in computer science, software engineering, or a related field</li><li>Solid programming skills in Python and/or TypeScript/ReactJS</li><li>First practical experience with web development (internship, own projects, or coursework counts)</li><li>Curiosity about AI/ML applications and how they get deployed in the real world</li><li>Experience with REST APIs or basic SQL is a plus</li><li>Any exposure to ML frameworks (PyTorch, scikit-learn, etc.) is a plus</li><li>Fluency in English; German proficiency is a plus</li><li>Available for 20 hours/week (flexible around your study schedule)</li></ul>"
    },
    {
      "name": "What we offer",
      "value": "<ul><li><p>Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.</p></li><li><p>International Team: We are a dynamic and international team. </p></li><li><p>Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation.</p></li><li><p>Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy, as well as working hours.</p></li><li><p>AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team.</p></li><li><p>Brand new office space: Bright and open office situated on the AI Campus in Berlin.</p></li><li><p>Hardware allowance:  We give you support to have all the equipment you would need to thrive in your job.</p></li><li><p>Sabbatical Leave;</p></li><li><p>Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club), or groceries (Edenred).</p></li></ul>"
    }
  ],
  "occupationCategory": "engineering",
  "recruitingCategory": "Engineering"
}