Machine Learning Working Student - Hybrid
Job Description
Join our innovative team as a Machine Learning Working Student, where you will contribute to exciting projects at the intersection of applied mathematics and cutting-edge technology. As a member of our interdisciplinary team, you will engage in various machine learning tasks that range from research-oriented projects to practical industry applications. Your role will involve collaborating closely with machine learning experts to shape and advance our projects and products, utilizing the latest advancements in deep learning and artificial intelligence to solve real-world challenges. You will have the opportunity to immerse yourself in practical applications of computer vision and natural language processing, gaining hands-on experience while making a meaningful impact.
Key Responsibilities
The primary responsibilities for this position include supporting the team in various machine learning projects, contributing to research efforts, and assisting in product development.
- Collaborate with team members on machine learning tasks
- Engage in research projects and apply findings to industry products
- Assist in the development and refinement of machine learning models
- Contribute to data analysis and interpretation
- Participate in team discussions and knowledge-sharing sessions
Required Technical Skills
Soft Skills
Qualifications
- Currently enrolled in a degree program in mathematics, physics, or computer science
- Strong academic performance in mathematically-focused subjects
- Interest in applied statistics and programming
- Familiarity with programming languages such as Python or Julia
- Desire to learn about contemporary machine learning techniques, particularly deep learning
- Commitment to stay in Berlin for at least 1.5 years, working 15-20 hours per week
Language Requirements
Programming Languages:
Python, Julia
Spoken Languages:
English, German
Benefits & Perks
- ✓ Professional growth opportunities
- ✓ Knowledge sharing culture
- ✓ Flexible hybrid work environment
- ✓ Supportive team atmosphere
- ✓ Access to cutting-edge projects
Working Conditions
Hybrid
Company Culture
We foster an environment of collaboration and continuous learning, where curiosity is encouraged, and every team member's contributions are valued. We prioritize knowledge sharing and create a supportive atmosphere that enables everyone to thrive.
Salary Range
Project Types: Not Available
Career Growth: Mentorship from experienced professionals, Participation in innovative projects, Possibility to transition into a full-time role after graduation