Working Student AI/ML & Data Science (all genders) - Berlin

• Contribute to the design, implementation, and optimization of data annotation strategies for diverse AI/ML datasets.
• Assist in the development, testing, and refinement of agentic platform components, machine learning models, or related AI-driven features.
• Apply your strong grasp of machine learning and artificial intelligence fundamentals to analyze complex data, uncover insights, and propose innovative solutions.
• Collaborate closely with team members to integrate AI/ML solutions into existing systems or new product functionalities.
• Research and evaluate state-of-the-art AI/ML techniques, tools, and methodologies relevant to ongoing and future projects.

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a comparable qualification.
• Strong understanding of machine learning and artificial intelligence fundamentals (e.g., supervised/unsupervised learning, deep learning, natural language processing, reinforcement learning).
• It is mandatory to be enrolled in a university for the entire employment period.
• English is the working language, german is good to have.
• You are based in or near Berlin.

Nice to have

• Experience with data annotation processes, tools, or quality assurance for AI/ML datasets.
• Familiarity with agentic platforms, large language models (LLMs), or related AI product development concepts.
• Proven experience with version control systems (preferably Git).
• Knowledge of challenges and constraints within the automotive domain.
• Native or near-native knowledge in other languages.
• Experience in user research or user-centric design principles.

Pulled from the full job description

• Flexible schedule, * An international, interdisciplinary software hub, which is part of Mercedes Benz AG
• Great company values that we are passionate about and live by every day at work
• Agile working methods and open feedback culture
• A brand new modern and fully accessible office facing to Spree
• Flexible working hours
• Hybrid working culture