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Internship - Machine Learning Synthetic Data Generation - ZEISS
ML Engineer
Internship focused on developing cutting‑edge synthetic data generation algorithms using machine learning techniques, primarily in Python, within a research‑driven team.
About the role
Key Responsibilities
- Design, implement, and evaluate machine learning models for synthetic data generation.
- Collaborate with scientists and research engineers to integrate models into product pipelines.
- Analyze data quality, bias, and performance metrics to refine algorithms.
- Document methodologies, results, and best practices for internal knowledge sharing.
- Assist in preparing technical reports and presentations for cross‑functional stakeholders.
Requirements
- Current student or recent graduate in Computer Science, Data Science, or related field.
- Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit‑learn).
- Familiarity with data augmentation, generative models, or related techniques.
- Excellent analytical and problem‑solving abilities.
- Effective communication skills in English.
Skills
machine learningpython