23 days ago
Berlin, GermanyEntry Level
Responsibilities
- Support an interdisciplinary team of machine learning professionals.
- Work on machine learning tasks ranging from research projects to industry products.
- Help shape and develop projects and products with machine learning experts.
- Apply creative ideas to real-world problems in areas including computer vision and natural language processing.
Requirements
- Currently studying mathematics, physics, or computer science.
- Very good grades in mathematically oriented subjects.
- Interest in applied statistics and programming with Python, Julia, or a similar language.
- Interest in modern machine learning approaches such as deep learning.
- Planning to remain in Berlin for at least 1.5 more years.
- Availability to work 15–20 hours per week.
- CV and university degree documents are mandatory; transcripts are requested where applicable.
- Project, code examples, or portfolio are optional.
Benefits
- Professional growth and the opportunity to assume significant responsibility.
- Knowledge-sharing environment with supportive colleagues.
- Opportunity to contribute to shaping dida's development and projects.
- Flexible hybrid working hours.
- Nice office in Berlin Schöneberg.
- Part-time working arrangement of 15–20 hours per week.
Tech Stack
JuliaPython
Categories
