Mathematician, Physicist (w/m/d) - Hybrid

Permanent employee, Full or part-time · Berlin

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Your mission
dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

You will
  • support the dida team in applying cutting-edge machine learning algorithms
  • experiment with model architectures to find the best solution for each specific project
  • 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
  • a MSc or PhD in mathematics or physics
  • a creative mind that likes to solve problems
  • interest in modern machine learning approaches (experience in deep learning is a bonus)
  • solid programming experiences (Python is a bonus)
Minimum type of documents to attach:
  • CV (mandatory)
  • (Uni) Degree(s) (mandatory)
  • Transcripts (where applicable)
  • Project / Code Examples / Portfolio (optional)
Why us?
You will work with an interdisciplinary team of people with a solid background in mathematics and statistics. 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 with publishing your research results.

Find below a short description of two of our current 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.) 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 labelling scheme (problem modelling), and detecting different paragraphs automatically, before tackling the inference task.
About us
dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

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.
Warum du dich für uns entscheiden solltest?
Du arbeitest in einem interdisziplinären Team mit einem soliden Hintergrund in Mathematik und Statistik. Wir bieten flexible Arbeitszeiten (Voll- und Teilzeit) und haben ein schönes Büro mit gutem Kaffee in Berlin Schöneberg. Wir bevorzugen ein hybrides Arbeitsmodell, sind aber auch offen für mobiles Arbeiten. Wir glauben an die Wissenschaft und unterstützen Dich daher mit Herzblut bei der Veröffentlichung Deiner Forschungsergebnisse.
Über uns
dida ist ein Softwareunternehmen mit dem Schwerpunkt Machine Learning, das sich mit spannenden Problemen zum Beispiel in den Bereichen Computer Vision und Natural Language Processing beschäftigt. Unser Team befasst sich mit angewandten Problemen für verschiedene Kunden, indem es die neuesten wissenschaftlichen Fortschritte (vor allem im Bereich Deep Learning) nutzt und glaubt, dass forschungsorientiertes Denken dabei helfen kann, Probleme in der realen Welt effizienter zu lösen.

dida steht für Chancengleichheit, unabhängig von Geschlecht, Nationalität, ethnischem Hintergrund oder Behinderung. Wir ermutigen alle, insbesondere Frauen, People of Color und Menschen mit Behinderungen, sich bei der dida zu bewerben.

Your application!
We appreciate your interest in our company. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at jobs@dida.do.

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