Machine Learning 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 need 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

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 programming with Python, Julia, or similar languages.
• You are eager to learn more about modern machine learning approaches such as deep learning.
• You plan to stay in Berlin for at least 1.5 more years and 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 sensitively.
• We are in an exciting phase where you can actively contribute to shaping the development of dida. 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.

Project Examples

If you want to learn more about our projects, here are two 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.) to find out how many solar panels fit on it. This involves inferring 3D information from 2D pictures to determine the roof pitch.
• Detect, classify and suggest legal effectiveness of text paragraphs (NLP): Automatically go through thousands of legal documents to classify dedicated paragraphs and check their legal effectiveness. This involves converting scans to text, developing a labeling scheme (problem modeling), and detecting different paragraphs automatically before tackling the inference task.

Application Documents

Please attach the following documents:

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

dida is a machine learning software company that stands 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.

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