Stellenbezeichnung: Internship Machine Learning
Firma: Zeiss
Arbeitsort / Location: München, Bayern
Job Beschreibung: Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
Apply now! It takes less than 10 minutes.
You will play a crucial role in bringing new ML and CV functionality to our new revolutionary digital microscopy online platform at ZEISS. Together with our team of software developers and machine learning engineers you will work on improving our automated machine learning and computer vision toolset. You will have the possibility to improve your knowledge in areas such as automated ML pipelines, scalable ML infrastructure or our framework for training computer vision algorithms. As the leading microscopy company, we have an unlimited number of use cases for ML and CV. Datasets ranging from neuron and other cell biology images to microscopic images acquired in industrial quality labs provide us with exciting new challenges every day.
- finding pleasure in developing production-ready software in Python, demonstrated by a portfolio of projects
active user of version control (git)
good understanding of the principles of modern Deep Learning and Computer Vision algorithms
proven track record of contributing maintainable code to team projects or open-source projects
deep curiosity and willingness to dive into new subject areas
self-motivated personality, independent working style and collaborative mindset
fluent in English or German
The following will be considered an advantage
proficiency in a second object-oriented programming language with portfolio of projects (e.g. C++, C#)
portfolio of ML projects (e.g. on Kaggle)
familiarity with MLOps
familiarity with Azure
familiarity with CI/CD
familiarity with Docker
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