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← All postings · December 2020 thread
Machine Learning ⇌ Science Colaboratory, University of Tübingen
Research engineer in ML for Science
| Company | Machine Learning ⇌ Science Colaboratory, University of Tübingen |
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| Website | mlcolab.org ↗ |
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| Role | Research engineer in ML for Science |
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| Type | full-time |
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| Role taxonomy | AI / ML / Research |
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| Specialties | Research |
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| Location | On-site |
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| Salary | — |
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| Apply via | See posting |
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| Hiring notes | — |
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| Tech | ML/AI |
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| Posted by | lejalv |
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| Posted | Dec 1, 2020 |
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| Source | View on Hacker News ↗ |
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Original posting
Research engineer in ML for Science | Machine Learning ⇌ Science Colaboratory, University of Tübingen
Tübingen SW Germany, ONSITE | Full-time | https://mlcolab.org
We bring modern ML techniques to scientists across disciplines to help them discover better, faster and, most important of all, with error bars and trust in the analysis.
But we also trail the opposite direction: raising the visibility of scientific problems and datasets for the ML researchers, and working together with them in cracking some
of the problems that real, noisy experimental data poses to the practising scientist.
Flexible work time, stimulating work environment, only open source, proper SW engineering, cutting-edge ML research, explorable explanations, and fun.
To all underrepresented in the STEM world (women obviously, but not only). Closing these gaps is our shared generational task. Help us, apply!
Job offer here: https://mlcolab.org/do-sciml
A sample of current projects: https://mlcolab.org/projects