Wassim Youssoufi
ML EngineerMachine Learning Research Scientist
Plumeria Lab
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Research Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Télécom SudParis
MSc in engineering, High Tech Imaging, Imaging, Mathematics
January 1, 2013 – January 1, 2019
Plumeria Lab
Machine Learning Reseach Scientist
January 1, 2024 – Present
Greater London, England, United Kingdom
Humanising Autonomy
Computer Vision Research Scientist
February 1, 2018 – November 1, 2023
London Area, United Kingdom
WIREWAX
Computer Vision/Deep Learning Engineer
February 1, 2017 – December 1, 2017
London Area, United Kingdom
AMC - Academisch Medisch Centrum
Intern
June 1, 2016 – August 1, 2016
Amsterdam
IMAG : Montpellier Math laboratory
Intern
July 1, 2015 – August 1, 2015
Montpellier
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on research and development in Computer Vision and Machine Learning, aligning well with an ML Engineer role. Their experience spans startups (Humanising Autonomy, WIREWAX) and research labs, indicating adaptability to different work environments. The diversity of projects, from pedestrian intent prediction to medical image segmentation, demonstrates a broad interest and capability within the ML domain. The recent role as a Machine Learning Research Scientist at Plumeria Lab, focusing on AI/ML security, adds a unique dimension to their profile. The lack of explicit project details outside of work experience makes it harder to fully assess personal initiative or community involvement, but the professional experience is highly relevant.
Soft Skills & Operational Fit
The candidate's experience at Humanising Autonomy, where they played a pivotal role as a first employee and helped build a successful team, suggests strong initiative, leadership potential, and adaptability. The description of developing systems for major manufacturers indicates an ability to deliver impactful solutions. However, without specific psychometric or English test results, a detailed assessment of communication, logical reasoning, stress handling, and team collaboration is not possible.