Mehdi Bennani
Backend EngineerResearch Engineer at DeepMind
DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Engineer at DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My goal is to make a positive impact on the world, by advancing science and engineering; and building new technologies. Please refer to my Google Scholar regarding my latest research work : https://scholar.google.com/citations?user=JbGXRUIAAAAJ Feel free to reach out :)
ENSAE Paris
Master of Engineering (Diplôme d'Ingénieur), Statistics and Economics
January 1, 2016 – January 1, 2018
Tohoku University
Master's exchange program, Computer Science
January 1, 2015 – January 1, 2016
École des Mines de Saint-Étienne
B. Eng / M. Eng, Executive Engineering
January 1, 2014 – January 1, 2016
Moulay Driss High School - Fez Morocco
Preparatory Classes for Engineering Schools, Mathematics and Physics
January 1, 2012 – January 1, 2014
DeepMind
Research Engineer
February 1, 2022 – Present
Paris · On-site
Aqemia
Machine Learning Engineer - Drug Discovery
February 1, 2020 – December 1, 2021
Paris Area, France
RIKEN
Research Intern - Bayesian Deep Learning
May 1, 2019 – September 1, 2019
Tokyo, Japan
NVIDIA
Software Engineer Intern – High Performance AI Infrastructure
January 1, 2019 – April 1, 2019
Austin, Texas Area
SoftBank Robotics Europe
Machine Learning Engineer Intern – Robotics
June 1, 2018 – November 1, 2018
Paris Area, France
Inria
Research Intern - Team SequeL
June 1, 2016 – August 1, 2016
Lille Area, France
Chatbot for Job Offers
May 1, 2017 – Present
We developed with Python a chatbot which asks the user several questions then returns a list of the most suitable job offers. The job offers database was scraped from the website “leboncoin.fr”. The program uses several Text Mining techniques. The graphical interface is built with the Tkinter package. The source code is available on: github.com/MehdiAB161/Chatbot-for-Job-Offers
TOEIC
ETS EMEA
June 24, 2026 – Present
Japanese Language Profieciency Test - N3
The Japan Foundation
June 24, 2026 – Present
TOEFL
TOEFL
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, AI research, and data science. While this demonstrates deep technical expertise, the target role is 'Backend Engineer'. The projects and experience do not explicitly highlight traditional backend engineering skills such as API design, database management, distributed systems, or specific backend frameworks (e.g., Java Spring, Node.js Express, Go Gin). This suggests a potential mismatch with a pure backend engineering role, though the strong technical foundation could allow for a pivot. The diversity of research institutions and companies (Japan, France, UK, US) indicates adaptability and exposure to different work cultures.
Soft Skills & Operational Fit
The candidate's experience at DeepMind and Aqemia suggests a strong aptitude for complex problem-solving and working in cutting-edge research/startup environments. The role as the first ML hire at Aqemia indicates proactivity and the ability to build systems from the ground up. The research publications and open-source contributions (GitHub links) demonstrate a commitment to sharing knowledge and contributing to the technical community. However, without direct assessment data on collaboration or communication, specific soft skill strengths are inferred from role descriptions.