Machine Learning Researcher - Berlin, Deutschland - dida Datenschmiede GmbH

dida Datenschmiede GmbH
dida Datenschmiede GmbH
Geprüftes Unternehmen
Berlin, Deutschland

vor 1 Woche

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

Your mission
You will
- also work on transferring theoretical insights to practical use cases which are usually part of respective research projects, with the goal of setting new industry standards
- be able to publish your results in relevant journals or at machine learning conferences such as ICML, NeurIPS or ICLR
- foster our strong connections to academia, 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, physic, computer science or a related field
- published academic papers; machine learning related papers are a plus
- a creative mind that likes to solve problems
- grounded knowledge about machine learning and deep learning in particular


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.

Here are short descriptions of some projects we have worked on.


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 modeling), 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.


Art der Stelle:
Vollzeit, Teilzeit, Festanstellung


Arbeitszeiten:

  • 8Stunden-Schicht

Leistungen:

  • Flexible Arbeitszeiten

Arbeitsort:
Zum Teil im Homeoffice in 10827 Berlin

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