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Machine Learning Scientist – 3y exp. – C++ / C – Dresden – m/f/d
published at 28.09.2022 15:41
Location: Dresden
Company: OPOX
Relocation Level: Country
Remote support for this position: partial
For a network partner we are seeking a qualified Machine Learning/Research Scientist (m/f/d).
- As a researcher, you’ll be part of an international team of machine learning experts and engineers focusing on developing state-of-the-art algorithms for face recognition and related tasks and their mathematical basis
- Incorporating recent approaches from the deep learning community as well as own ideas, your main work will be implementing and conducting experiments, analyzing their results and discussing them with the team
- You will also assist the Software Department in creating product implementations of the new algorithms
- Maintain and extend our software environment for experimentation and data analysis
- Provide knowledgeable technical support to customers and the customer services team
Your profile
· Master degree (or equivalent) in science or engineering
· 3 years of research experience in computer vision or machine learning
· Solid background in mathematics (linear algebra, statistics, analysis, numerics)
· 2-3 years of experience in C++ or C programming and Unix-like OS
· English fluent in speech and writing
Nice if you have experience with
· convolutional neural networks and face detection, tracking or face recognition
· knowledge of statistical modeling and analysis
About your new employer: You will work as a member of a multicultural and diverse team in Dresden.
It is shaped by the atmosphere of mutual learning and a professional and objective approach to work. You will find an interesting working environment with flexible working hours and home office options.
Feel free to simply contact me – then we can talk at short notice.
Dr. Karsten Jänsch – karsten.jaensch@opox.org – 0179 75 62 850
Please check the corresponding development position: ML Software Engineer
OPOX GmbH – Königsbrücker Straße 124 – 01099 Dresden
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