About the Position

Machine Learning Working Student (all genders) - Hybrid, Berlin

Berlin

Part-time

Working Student

Your Mission

dida is a machine learning software company with exciting problems in computer vision and natural language processing. Our team tackles applied problems for different customers by using the latest scientific advancements (especially in deep learning) and believes that research-oriented thinking can help solve real-world problems more efficiently. We are looking for a Machine Learning Working Student who will:

Support our interdisciplinary team of people with a solid background in mathematics and statistics.
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.

Responsibilities

Support our interdisciplinary team of people with a solid background in mathematics and statistics.
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.

Your Profile

You are studying mathematics, physics, or computer science.
You have very good grades in mathematically-oriented subjects.
You are interested in applied statistics and in 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 15-20 hours/week.
You want to solve real-world problems with creative ideas.

Why Us?

You get the opportunity to grow professionally with us and quickly assume significant responsibilities.
You will work with and learn from people who believe in knowledge sharing and treat each other very sensitively.
We are in an exciting phase where you can actively contribute to shaping the development of dida. With us, you will have the chance to take on responsibility and make your mark.
You will have flexible, hybrid working hours and a nice office with good coffee in Berlin Schöneberg.

Projects Examples

Estimate the amount of solar panels that fit on a roof (computer vision):

Given a satellite picture and a ground image of a house, automatically detect certain elements of a roof (including obstacles, dormers, etc.) in order to find out how many solar panels fit on it. This involves inferring 3D information from 2D pictures in order to infer the roof pitch.

Detect, classify, and suggest legal effectiveness of text paragraphs (NLP):

Automatically go through thousands of legal documents with the goal to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text, coming up with a labeling scheme (problem modeling), and detecting different paragraphs automatically, before tackling the inference task.

Required Documents

CV (mandatory)
(Uni) Degree(s) (mandatory)
Transcripts (where applicable)
Project / Code Examples / Portfolio (optional) - what helps us in getting to know you better

About Us

At dida, we stand for equal opportunities, regardless of gender, nationality, ethnic background, or disability. We encourage everyone, especially women, people of color, and people with disabilities to apply at dida.

Machine Learning Working Student (all genders) - Hybrid, Berlin

Job description