Software Engineering Manager - Computational Music @ Apple Inc
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I am part of the Computational Music Team / Shazam @ Apple Inc. I am leading a machine learning centric team. We are working on a wide range of music projects across the company from developing ML models for MIR tasks to exploring AI generative techniques.
Ecole Nationale des Ponts et Chaussées
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2013 – January 1, 2017
École Normale Supérieure de Cachan
Master's Degree, Mathematics, Vision, Image and Signal processing
January 1, 2011 – January 1, 2012
Telecom Bretagne
Master of science, Electrical engineering
January 1, 2003 – January 1, 2007
IMT Atlantique
Master of Science - Electrical Engineering
January 1, 2003 – January 1, 2007
Apple
Software Engineering Manager - Computational Music
June 1, 2021 – Present
Apple
Machine Learning Scientist
April 1, 2017 – June 1, 2021
Apple
Software Engineer Intern @ Advanced Computation Group
November 1, 2015 – October 1, 2016
Portland, Oregon Area
Caltech
Research Analyst
April 1, 2014 – June 1, 2015
Ecole nationale des ponts et chaussées (Ecole des Ponts ParisTech)
PHD Candidate
October 1, 2013 – November 1, 2017
Paris Area, France
Caltech
Research Student Visitor
April 1, 2012 – March 1, 2014
École Normale Supérieure de Cachan
Mathematics and Vision Student
September 1, 2011 – September 1, 2012
SAGEM
System Engineer
January 1, 2010 – July 1, 2011
SAGEM
Lead image processing engineer
November 1, 2007 – December 1, 2009
SAGEM
Image processing intern
May 1, 2007 – October 1, 2007
Cultural Fit Analysis
The candidate has a strong background in research and development within large tech companies (Apple) and academic institutions (Caltech, Ecole des Ponts ParisTech). Their experience spans from deep theoretical research to practical application and management. While the target role is 'Data Analyst', their background is heavily skewed towards Machine Learning, Computer Vision, and Software Engineering Management. This indicates a potential mismatch in direct role alignment, as a Data Analyst role typically focuses more on data extraction, transformation, visualization, and statistical analysis rather than advanced ML model development or software engineering management. The diversity of projects is high within their specialized domain, but less so across typical data analyst responsibilities.
Soft Skills & Operational Fit
The candidate's experience includes managing teams and interfacing with clients, suggesting strong leadership, communication, and collaboration skills. Their research background indicates strong problem-solving and analytical abilities. However, specific operational fit for a Data Analyst role, beyond technical skills, is not explicitly detailed in the provided descriptions.