Machine Learning Working Student / Internship (m/f/d)

Computer Vision & Information Extraction (CVIE)
Munich, Germany

Who we are - the Gini Community

Founded in 2011 Gini is a well-established award-winning FinTech company disrupting the banking, e-commerce, and insurance sector. Our most well-known product is our Gini photo payment software assistant, which is integrated into over 90% of German banking apps. With this and other products, we aim to improve everyone's quality of life by simplifying tedious tasks through automation. What’s special about us: We place a high value on autonomy, which we integrate into our daily work life with flat hierarchies. We have four core values that are essential to our collaboration at Gini: Excellence, Opportunities rather than Risks, Love, and Commitment & Responsibility. You can find more details about our values and the way we work together at Gini in our handbook.

We are very proud to have received several awards in recent years, including "Top Employer 2020" from Focus, "Financial Product of the Year 2022," and "Top Company" from kununu for 2023, 2024, and 2025.

To support the continuous development, evaluation, and improvement of our AI models and data pipelines, we are looking for a motivated Working Student or Intern (m/f/d) to join our CVIE (Computer Vision & Information Extraction) team. In this role, you’ll assist with research, experimentation, and data preparation tasks that contribute directly to improving our AI models and exploring new AI-driven product features.

Your playing field at Gini

• You support model training, fine-tuning, and evaluation for document-understanding tasks
• You perform exploratory data analysis and quality checks on annotated datasets
• You implement or extend Python utilities for preprocessing, data conversion, and evaluation
• You run experiments on our internal GPU infrastructure under supervision
• You summarize experiment results and contribute to decision-making for the next iteration steps
• You collaborate closely with ML engineers and the annotation lead to ensure data consistency and effective model feedback loops
• You maintain internal documentation for reproducibility and compliance

Skills to be successful

• You are currently studying for your Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
• You have successfully completed courses in Machine Learning or Neural Networks
• You understand core ML concepts and model evaluation methods
• You have good programming skills in Python and experience with Linux/Unix systems
• You are familiar and have hands-on experience with ML frameworks such as PyTorch
• You have an understanding of (Vision)Large language models architecture and concept
• You think analytically, pay attention to details, and are curious about new technologies
• You communicate clearly in English (our working language)
• You are reliable, trustworthy, and enjoy working in a team

Nice-to-Haves

• You have taken courses or gained experience in Computer Vision or Natural Language Processing
• You have worked with tools like Hugging Face Transformers, vLLM, or ML experiment tracking tools (e.g., Kubeflow, MLflow, Weights & Biases)
• You have experience with Computer Vision libraries such as OpenCV, PIL, NumPy, or Pandas
• You are interested in optimizing model performance and evaluating data quality
• You have prior research, internship, or project experience in AI/ML
• You understand data annotation workflows, OCR, or Document Understanding tasks

Your perks

• You have the choice - Mobile working from home or in our bright office with two spacious roof terraces, according to your needs
• Flexibility - early bird or a night owl, you have flexible working hours
• Food allowance - We have an excellent employee restaurant in our office building where you can get delicious food with our allowance of 3€ per day
• Lots of different team events: we know how important team cohesion is, so we regularly organize team and company-wide events and activities
• Shared feedback culture with purpose - A feedback-driven culture full of purpose and community. Click on kununu and Glassdoor to find out what our employees and candidates are saying about Gini

Sounds like the right challenge for you?