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Senior Research Engineer in Artificial Intelligence
Former AI researcher with CNRS, CNES, DFKI, NASA and research engineer with Inria. Working with teams across Europe and the US, Jolibrain's activities are dedicated to the building of in production Artificial Intelligence systems for high automation of a range of industrial tasks. The industries that trust us are eclectic because AI is pervasive. They range from large cybersecurity players to top art institutions, AI hardware manufacturers, aerospace leaders and machine learning startups around the globe. Jolibrain team's technical and theoretical focus is on Machine Learning, Decision under Uncertainty, Robotics, Search Engines, Optimization and Distributed Systems. We work with both very large corporations and startups, solving automation problems with no off-the-shelf solution. Our experience is clear: bullet-proof software is Open Source. We like creating, contributing, learning and sharing. All our products are publicly available and Open Source.
LAAS-CNRS / University Toulouse Paul-Sabatier
PhD, Computer Science, Artificial Intelligence
January 1, 2000 – January 1, 2003
University Paris-Dauphine
MD, Applied Mathematics & Statistics
January 1, 1997 – January 1, 1999
JoliBrain
CEO
May 1, 2015 – Present
Greater Toulouse Metropolitan Area
Inria
Senior Research Engineer
April 1, 2014 – March 1, 2015
Paris Area, France / Toulouse Area, France
XPLR Software Inc.
CTO & Co-founder
January 1, 2012 – March 1, 2014
New York / Toulouse
ioSquare
VP R&D
August 1, 2009 – May 1, 2013
LAAS-CNRS
Researcher
November 1, 2007 – May 1, 2009
DFKI GmbH
Senior Researcher
November 1, 2006 – August 1, 2007
NASA Ames Research Center
Research Scientist
November 1, 2003 – December 1, 2005
Motorola Research Center
Trainee
April 1, 1999 – September 1, 1999
Cultural Fit Analysis
The candidate's diverse background in academia, research, startups, and leading an open-source company indicates adaptability and a broad perspective. Their involvement in open-source and tackling 'toughest challenges' suggests a proactive and collaborative cultural fit. The long tenure in various roles, including CEO, points to a strong work ethic and commitment.
Soft Skills & Operational Fit
The candidate's extensive experience in research and leadership roles suggests strong analytical, problem-solving, and strategic thinking skills. Their background in managing an open-source AI company implies a collaborative and innovative mindset. However, specific operational fit for a standard backend engineering team, beyond technical leadership, is not explicitly detailed.