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AI Research Scientist

vor 2 Monaten


Stuttgart, Baden-Württemberg, Deutschland Seedbox Vollzeit
About Seedbox

We are a cutting-edge technology company that specializes in harnessing the transformative power of artificial intelligence to drive innovation and growth for mid-sized German businesses.

Our mission is to empower our clients to unlock their full potential by providing custom AI and full-stack development solutions that seamlessly integrate into their unique business processes.

We take a collaborative approach to ensure that our solutions are tailored to our clients' specific needs, and we are committed to delivering high-quality, scalable, and secure solutions that meet the highest standards of regulatory and security requirements.

Job Summary

We are seeking an experienced AI Research Scientist to join our team at Seedbox. As an AI Research Scientist, you will play a crucial role in developing and implementing cutting-edge AI models and algorithms that drive the future of our technology.

You will be responsible for conducting research to identify new AI technologies and evaluating their potential applications, as well as collaborating closely with interdisciplinary teams to integrate AI solutions into existing systems and applications.

Key Responsibilities
  • Develop and implement innovative algorithms and models in the field of Artificial Intelligence and Machine Learning.
  • Analyze and optimize existing AI models to improve performance and efficiency.
  • Conduct research to identify new AI technologies and evaluate their potential applications.
  • Collaborate closely with interdisciplinary teams to integrate AI solutions into existing systems and applications.
  • Prepare scientific publications and presentations to communicate research findings internally and externally.
  • Evaluate data sources and data quality to enhance model accuracy and reliability.
  • Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI approaches.
Requirements
  • A degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.
  • At least three years of experience in developing and implementing AI models, particularly in deep learning and natural language processing.
  • Strong programming skills in Python or similar languages, with experience in AI frameworks such as TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistical methods, data processing, and machine learning algorithms.
  • Demonstrated ability to translate research into practical applications that enhance product capabilities.
  • Excellent problem-solving skills, with the ability to work independently and collaboratively.
  • Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
  • Ability to communicate fluently in both spoken and written English, with at least conversational proficiency in spoken German.
What We Offer
  • 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.