Machine Learning Scientist (w/m/d) - Hybrid

Das ist der Job

Experiment with model architectures to find the best solution for each specific project.

Darum lohnt es sich

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. You will: Support the dida team in applying cutting‑edge machine learning algorithms.

Interest in modern machine learning approaches (experience in deep learning is a bonus). You will work with an interdisciplinary team of people with a solid background in mathematics and statistics.

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.

Benefits Flexible working hours Hybrid work model (open to remote) Support for publishing research Nice office with good coffee in Berlin Schöneberg Interdisciplinary team with strong math/stats background Salary Min: 50000 EUR (estimated) Max: 80000 EUR (estimated) Remote Model Hybrid Country Code de #J-18808-Ljbffr Your Mission dida is a machine learning software company with exciting problems in computer vision and natural language processing.

Keep up‑to‑date with advances in machine learning research and actively take part in our company's collaborative learning and development environment. Your Profile You have: An MSc or PhD in mathematics or physics. A creative mind that likes to solve problems. Solid programming experience (Python is a bonus).

Minimum Documents to Attach CV (mandatory) (Uni) Degree(s) (mandatory) Transcripts (where applicable) Project / Code Examples / Portfolio (optional) Why Us? We offer flexible working hours (full and part‑time) and have a nice office with good coffee in Berlin Schöneberg. We prefer a hybrid work model but are open to remote work.

We believe in science and support publishing your research results. Example Projects 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 determine how many solar panels fit on it.

This involves inferring 3D information from 2D pictures to infer 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, creating a labeling scheme (problem modeling), and automatically detecting different paragraphs before tackling the inference task. About Us dida is a machine learning software company with exciting problems in computer vision and natural language processing.

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.