[4eyes] Fwd: Help w/ awesome visioneers to join Affectiva

[Matthew Turk]

FYI - job opportunities at Affectiva, an MIT Media Lab spinoff working 
in affective computing

-------- Original Message --------
Subject: 	Help w/ awesome visioneers to join Affectiva
Date: 	Thu, 23 Aug 2012 23:55:40 +0200
From: 	Rana el Kaliouby <kaliouby at media.mit.edu>
To: 	mturk at cs.ucsb.edu



hi Matthew,
Hope this email finds you well and that you're having a great summer.
Wanted to share some good news and seek your help.
Affectiva just closed a round of funding with top-tier investors and 
we're looking to grow our Visioneering team.
Since you run one of the top facial / behavioral analysis groups, I was 
wondering if you had any star students or alums that you could point our 
way.
We have a few openings including a Computer vision scientist and a 
Visioneering lead / director, details of which I have pasted below for 
easy circulating.
(This page http://www.affectiva.com/company/#careers has all the job 
opportunities listed)

Thanks - and hope to run into you at some conference soon :)
best
Rana

-----------------------
About Affectiva
Affectiva, an MIT Media Lab spin-off, is a global leader and industry 
expert in emotion measurement technologies with innovative 
and cutting-edge products such as Q Sensor™, a wearable biosensor, and 
Affdex™, facial expression recognition technology. Based on the world's 
largest repository of naturally occurring emotional response, Affectiva 
has become the global standard for real-world accuracy and relevance in 
emotion analytics. Affectiva is privately held with backing from the 
National Science Foundation, and top-tier investors such as Kleiner 
Perkins Caufield and Byers. We are located in Waltham, MA with easy 
access to public transport.


COMPUTER VISION SCIENTIST

Join the leaders in emotion recognition and develop emotion analytics 
powered by the largest repository of emotion data in the 
world. Affectiva is looking for a highly talented and motivated Computer 
Vision Scientist to contribute to its suite of emotion algorithms. The 
ideal candidate would have 5 years of exceptional hands-on experience 
in computer vision and/or machine learning. For a hard-core 
computer vision and/or machine learning scientist who wants to take 
research out of the lab and into the real world, this is a dream job!

Responsibilities
The ideal candidate will advance our core emotion recognition 
algorithms; choosing discriminative features that represent the data, 
and building a smart machine learning system that yields robust 
and accurate performance. The responsibilities of the Computer Vision 
Scientist include:

·      Research, develop and implement state-of-the-art machine 
learning solutions to the problems of emotion recognition
·      Research, develop and implement meaningful features in the data 
that discriminate a range of emotions

Requirements
We’re looking for a motivated, self-directed and talented professional 
to add to Affectiva’s Science team. Successful candidates for this role 
will have:

·      A Masters/PhD degree in EE/Computer Science with specialization 
in machine learning, computer vision or related areas.
·      Solid background and experience in “large-scale” machine 
learning, noisy data, semi-supervised classification;
·      Excellent programming skills (e.g., MATLAB, C/C++. Python);
·      Expertise in facial / human behavior analysis, tracking and 
classification
·      Industry experience researching and implementing machine 
learning models for real-world data;
·      Commercial software development experience

VISIONEERING LEAD / DIRECTOR

Lead Affectiva’s Science Team and build the leading emotion analytics 
platform powered by the largest repository of emotion data in the world. 
Affectiva is looking for a highly talented and motivated Visioneering 
Leader to contribute to our emotion algorithms and grow and lead 
our visioneering team. The ideal candidate would have 5-7 years of 
exceptional hands-on experience in computer vision and/or machine 
learning, ideally in facial or behavioral analysis and would have 
several years of experience managing a team of engineers / scientists.

Responsibilities:
Key responsibilities include:

·      Translate business needs from the executive team to science 
roadmap and tasks
·      Lead the science team including overall prioritization and goal 
setting.
·      Research, develop and implement state-of-the-art computer vision 
and machine learning for emotion classification;
·      Design and contribute to the implementation of Affectiva’s 
Science framework for continual labeling, training and validation of our 
classifiers.

Requirements
We’re looking for a motivated, entrepreneurial and talented professional 
to lead the Affectiva Science team. Successful candidates for this role 
will have:

·      A Masters/PhD degree in EE/Computer Science with specialization 
in machine learning, computer vision or related areas.
·      5-7 years of experience leading a team of engineers / scientists.
·      Experience with agile methodology.
·      Solid background in computer vision, ideally with some expertise 
in facial / human behavior analysis.
·      Solid background and experience in machine learning, especially 
handling big data.
·      Excellent programming skills (e.g., MATLAB, C/C++, Python);

Interested candidates should submit resumes to: jobs at affectiva.com 
<mailto:jobs at affectiva.com>

-----------------
Rana el Kaliouby, PhD
Research Scientist | MIT Media Lab
Co-Founder and Chief Technology Officer, Affectiva
Office:  +1 (781) 996-2120
Mobile: +1 (617) 599-5256
Twitter: @kaliouby, @affectiva




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