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Dida

Machine Learning Working Student, all genders

Dida

Machine Learning Working Student at dida tackling applied problems in the fields of computer vision and natural language processing. Grow professionally while collaborating on creative ML solutions with experts.

Posted 7/29/2026part-timeBerlin • 🇩🇪 GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills in mathematics, physics, or computer science, with a focus on applied statistics and programming. Capable of contributing to machine learning projects and collaborating effectively within an interdisciplinary team.

Highest-signal resume keywords
Machine LearningApplied StatisticsPython ProgrammingDeep LearningCreative Problem Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
MathematicsPhysicsComputer ScienceApplied StatisticsPython ProgrammingJulia ProgrammingMachine Learning ApproachesDeep Learning Techniques
Soft Skills
Team CollaborationEagerness to LearnCreative Thinking
Industry Keywords
Interdisciplinary TeamResearch ProjectsIndustry ProductsReal-World Problem Solving

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • support our interdisciplinary team of people
  • work on interesting machine learning tasks, ranging from research projects to industry products
  • shape and develop our projects and products, together with our machine learning experts

Requirements

What you’ll need
  • you are studying mathematics, physics or computer science
  • you have very good grades in mathematically-oriented subjects
  • you are interested in applied statistics and programming with Python, Julia or something alike
  • you are eager to learn more about modern machine learning approaches such as deep learning
  • you are planning to stay in Berlin at least 1.5 more years and to work 15-20h/week
  • you want to solve real-world problems with creative ideas.

Benefits

Comp & perks
  • flexible, hybrid working hours
  • nice office with good coffee in Berlin Schöneberg
  • opportunity to grow professionally and quickly assume significant responsibilities