Internship - ML Lifecycle Optimization

This internship is based in Heidelberg, Germany, and requires enrollment in a Master's or PhD program.

Responsibilities:

• Collaborate with ML practitioners to understand their challenges and build systems to enhance their development process.
• Develop web applications using Python or Go and modern frontend technologies.
• Create Python libraries and frameworks that meet high-quality standards.

Minimum Qualifications:

• Strong programming skills in Python.
• Expertise in machine learning and data-centric ML.
• Experience with data visualization tools.
• Ability to solve complex problems and learn quickly.

Preferred Qualifications:

• Experience with distributed processing.
• Familiarity with Typescript and React.
• Experience in building and optimizing agentic systems.