Ask HN: Who is hiring? (February 2015)

Where: Paris|Lille|Tokyo|Shanghai|Munich|REMOTE

Looking FULL TIME: - Big Data Engineer

Looking TRAINEE/INTERN (6 months+):

- OfficeJS Appstore Developer

- Python / Big Data Developer

- Python / ERP5 Developer

- Distributed Social Network Developer

- Chromebook without Google Developer

We are:

- developing strictly open-source since 2001

- doing a lot of research, mostly via EU-funded projects

- a small time all around the globe (headquarters in Lille, France)

- fun to work with

and:

- you'll be working with a Chromebook like everyone else :-)

- our website needs a make-over, I know...

apply to: jobs(at)nexedi.com

Where: Groningen (NL) or REMOTE

Looking for a fulltime Chief Intelligence Officer / Data-scientist.

Conversify is helping e-commerce sites with optimizing their conversions by using persuasion. We have tons of data, big customers and a stack consisting of: Elastic Search, Python, Django, JavaScript, Postgres and much more ;-).

You: Fluency in Python (numpy/scipy), Elastic Search, R or Matlab and Django.

More info?

E: bart[at]conversify.com

Skype: bkappenburg

Where: Bangalore, India

Looking FULL TIME: - Computer Vision Engineer

SKILLS: Machine Learning, Computer Vision, Python, C++, R, Linear Algebra, OpenCV, Object Recognition, Algorithms & Data Structures, Deep Learning, Matlab/Octave, Probability & Statistics

You will be working as a new member of the Gazemetrix R&D team. We are specialized in large scale image understanding. GazeMetrix empowers brands with insight into when and where their brand was photographed across social media in real-time. Using proprietary computer vision and machine learning algorithms, gazeMetrix accurately analyzes user-created photos on Instagram and identifies when a brand is featured. Brands discover their latest photos instantly. We automatically pick up the 'most popular pictures' and they can share them on their fan page/ Pinterest boards or twitter streams.

Where: Palo Alto, California

You: Looking for Math, EE, CS, and Neuroscience PhD dropouts / candidates / post docs / or simply curious individuals interested in machine learning, representation learning, and deep learning with strong math fundamentals.

Desired experience:

  - Training neural networks with gradient descent.
  - Strong math fundamentals: Linear Algebra, Multivariate Calculus,
    Mathematical optimization
  - GPU programming (Cuda/OpenCL) a plus.

Email your resume and github link to: s[at]lambdal.com