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ML Researcher @ Meta (Neural Interfaces) | PhD, AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
♦ Google scholar: https://scholar.google.com/citations?user=y_uRucIAAAAJ ♦ Github: https://github.com/gsicard
Technion - Israel Institute of Technology
PhD, Machine Learning
January 1, 2011 – January 1, 2017
Université de Montréal
Graduate exchange program, Computer Science and Operations Research
January 1, 2009 – January 1, 2010
Pierre and Marie Curie University
Master of Science - MS, Computer Science, Artificial Intelligence and Decision Making (IAD)
January 1, 2008 – January 1, 2010
Pierre and Marie Curie University
Bachelor of Science - BS, Mathematics and Computer Science
September 1, 2005 – June 1, 2008
Meta
Senior Research Engineer
December 1, 2023 – May 1, 2026
New York, New York, United States · On-site
Deep Instinct
Senior Director of Machine Learning
January 1, 2022 – August 1, 2023
Deep Instinct
Machine Learning Team Leader
November 1, 2020 – December 1, 2021
Deep Instinct
Machine Learning Researcher
January 1, 2017 – November 1, 2020
Institute of Intelligent Systems and Robotics (ISIR)
Research Engineer
December 1, 2010 – May 1, 2011
Paris Area, France
Institute of Intelligent Systems and Robotics (ISIR)
Research Intern
December 1, 2010 – May 1, 2011
Paris Area, France
National Institute of Informatics
Research Intern
June 1, 2009 – September 1, 2009
Tokyo, Japan
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and AI research and development, aligning well with a specialized ML Engineer role. Experience spans both large tech (Meta) and specialized AI/cybersecurity (Deep Instinct) companies, indicating adaptability to different organizational cultures. The academic background and continuous engagement in research suggest a strong drive for learning and innovation. The lack of diverse project types outside of core ML/AI, and no explicit community involvement, limits the assessment of broader cultural fit aspects.
Soft Skills & Operational Fit
The candidate's resume highlights leadership experience (Machine Learning Team Leader, Senior Director of Machine Learning) and collaboration within pluridisciplinary teams (Meta Reality Labs). The description of reducing error rates and improving GPU efficiency suggests a results-oriented approach and problem-solving skills. Promoting agentic systems indicates an interest in advanced methodologies and potentially a proactive approach to innovation. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.