onsite
Machine Learning Internship - ZEISS
ML Engineer
Join a leading microscopy research team as a Machine Learning Intern, applying Python and deep‑learning frameworks to develop AI‑driven image analysis tools for cutting‑edge scientific instruments.
About the role
Key Responsibilities
- Develop and prototype machine‑learning models for image segmentation, classification, and enhancement of microscopy data.
- Implement data preprocessing pipelines and perform exploratory data analysis using Python libraries.
- Collaborate with hardware and software engineers to integrate AI algorithms into microscopy control and visualization software.
- Evaluate model performance, conduct experiments, and document results for internal research publications.
- Stay current with state‑of‑the‑art deep‑learning techniques and propose improvements to existing workflows.
Requirements
- Currently pursuing a degree in Computer Science, Electrical Engineering, Physics, or a related field with a focus on machine learning or computer vision.
- Proficiency in Python and experience with deep‑learning frameworks such as TensorFlow or PyTorch.
- Strong analytical skills and familiarity with data manipulation libraries (e.g., NumPy, pandas).
- Basic understanding of microscopy imaging modalities and interest in scientific research.
- Excellent communication skills and ability to work effectively in a multidisciplinary team.
Skills
pythontensorflowpytorchmachine learningdata analysiscomputer vision