Working Student

**Join Our Team at Seedbox**: Innovating for a Better Tomorrow Are you ready to be part of a visionary team that's redefining the landscape of AI-driven innovation? At Seedbox, we are more than just a company; we are a dynamic force of change-makers, driven by the shared vision of our founders. Our journey began with a bold idea - to harness the untapped potential of Artificial Intelligence in transforming the German "Mittelstand," the backbone of our economy. Today, we stand as a beacon of transformation, seamlessly blending the rich heritage of corporate innovation with cutting-edge AI expertise. Our focus is on creating AI solutions that are intuitive and seamlessly integrate with our client's business processes. Thus, our approach is deeply collaborative, from ideation to development, believing that the best results come from transparency, sharing knowledge and commitment to the highest standards. Innovation is at the heart of everything we do. By combining cutting-edge AI technologies with proven expertise in corporate innovation, we aim to drive transformation in our clients' businesses. Our team is dedicated to exploring new frontiers, constantly improving our methodologies, and pushing the boundaries of what's possible, thus providing the most up-to-date solutions. With everything we do, we are committed to ethical obligations, security implications and sustainability. Our goal is to ensure that AI serves humanity positively, contributing to a better tomorrow for everyone. Tasks Join our team as a Data Scientist in a working student or intern capacity, where you'll be instrumental in enhancing and broadening our portfolio of AI solutions. In this role, you'll provide vital technical and personal contributions to our dedicated team, focusing on the everyday challenges of AI development. **Your main tasks will include**: - Designing and optimizing language and multimodal AI models through advanced training and fine-tuning - Creating and maintaining high-quality datasets in the field of natural language processing - Researching and implementing the latest advances and trends in generative AI technologies, particularly in Large Language Models **Requirements**: - Advanced studies in Data Science, Machine Learning/AI, Computer Science, Mathematics, or a similar quantitative field - Strong analytical skills and a pronounced affinity for data and Artificial Intelligence - Experience in programming with Python and familiarity with common Data Science and Data Engineering tools such as Pandas, NumPy, scikit-learn, etc. - Initial experience in the field of generative AI is a plus - Fluent in German and English **Benefits**: - Competitive Salary: Attractive, fair, and experience-based remuneration. - Flat Hierarchies: Encouragement of personal initiative and room for your own ideas. - Career Advancement: Dynamic environment with ample opportunities for professional growth. - Flexible Remote Culture: Adaptability in work location and hours, supported by efficient remote working tools. - Professional Development: Ideal environment for both personal and professional growth, with access to training and mentorship programs. - Modern Technology: State-of-the-art Apple devices and software for efficient and enjoyable work. - Prime Location: Attractive office in central Stuttgart, easily accessible by public transport and with ample parking. - Vibrant Team Culture: Regular team events, a fun atmosphere, and humorous colleagues. - Social and Sustainable Responsibility: Engage in meaningful sustainability and community initiatives within the company. - Performance Recognition: Working alongside performance-oriented, highly motivated colleagues in an ambitious setting, with clear recognition of achievements. - Employee Recognition Programs: Implement programs that regularly recognize and reward employees for their hard work and achievements. Dive into the world of Data Science with us as an Intern or Working Student, where your passion for data meets innovative problem-solving and real impact. In this role, you'll play an integral part in analyzing complex datasets to craft solutions that not only advance our business objectives but also positively influence society and the environment. It's a role that blends serious analytical work with an enjoyable and supportive team atmosphere.