----- Forwarded message from Emanuele Olivetti <emanuele(a)relativita.com> -----
Date: Wed, 19 Oct 2011 08:43:14 +0200
From: Emanuele Olivetti <emanuele(a)relativita.com>
Subject: [Linuxtrent] Fwd: [Scikit-learn-general] Hiring a junior developer on the
Chi fosse interessato a lavorare in un progetto di software libero/opensource
di ottimo livello e ha concluso da poco il percorso di laurea potra' trovare
interessante quest'opportunita'. E' stata pubblicata qualche tempo fa ma la
call e' ancora aperta, anche se non per molto.
-------- Original Message --------
Subject: [Scikit-learn-general] Hiring a junior developer on the scikit-learn
Date: Sat, 3 Sep 2011 00:09:42 +0200
From: Gael Varoquaux <gael.varoquaux(a)normalesup.org>
Once again, we are looking for a junior developer to work on the
scikit-learn. Below is the official job posting. Unofficially I would
like to stress that this is a unique opportunity to be payed for two
years to work on learning and improving the scientific Python toolstack.
INRIA is looking to hire a young graduate on a 2-year position to help
with the community-driven development of the open source machine learning
in Python library, scikit-learn. The scikit-learn is one of the major
machine-learning libraries in Python. It aims to be state-of-the-art on
mid-size to large datasets by harnessing the power of the scientific
Speaking French is not a requirement, as it is an international team.
* Programming skills in Python and C/C++
* Understanding of quality assurance in software development: test-driven programming,
version control, technical documentation.
* Some knowledge of Linux/Unix
* Software design skills
* Knowledge of open-source development and community-driven environments
* Good technical English level
* An experience in statistical learning or a mathematical-oriented mindset is a plus
* We can only hire a young-graduate that has received a masters or equivalent degree at
most a year ago.
**About the company**
INRIA is the French computer science research institute. It recognized
word-wide as one of the leading research institutions and has a strong
expertise in machine learning. You will be working in the `Parietal team
<https://parietal.saclay.inria.fr/>`_ that makes a heavy use of Python
for brain imaging analysis.
Parietal is a small research team (around 10 people) with an excellent
technical knowledge of scientific and numerical computing in Python as
well as a fine understanding of algorithmic issues in machine learning
and statistics. Parietal is committed to investing in scikit-learn.
Working at Parietal is a unique opportunity to improve your skills in
machine learning and numerical computing in Python. In addition, working
full time on the scikit-learn, a very active open-source project, will
give you premium experience of open source community management and
collaborative project development.
* **Technical Contact**: Bertand Thirion
* **E-mail contact**:email@example.com
* **HR Contact**: Marie Domingues
* **E-mail Contact**:firstname.lastname@example.org
* **No telecommuting**
Scikit-learn-general mailing list
----- End forwarded message -----
| Linux User #78271 |
| FSFE fellow #364 |