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Machine learning researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Accomplished machine learning researcher with over 5 years of experience developing, training, and evaluating large-scale neural networks. Skilled in distributed training techniques enabling state-of-the-art computer vision and natural language processing systems. Author of more than 10 papers at top-tier machine learning conferences, including NeurIPS, ICML, and ICLR.
Université Paris Dauphine - PSL
Doctor of Philosophy - PhD, Computer Science, Machine Learning
January 1, 2017 – January 1, 2021
Ideogram
Member of Technical Staff
April 1, 2025 – Present
New York, United States · On-site
New York University
Postdoctoral Researcher
January 1, 2023 – June 1, 2024
New York City Metropolitan Area
Inria
Postdoctoral Researcher
October 1, 2021 – December 1, 2022
Paris, Île-de-France, France
Université Paris-Dauphine
Ph.D. Candidate
September 1, 2017 – June 1, 2021
Paris
École Polytechnique
Lecturer
January 1, 2017 – March 1, 2020
Paris Area, France
Wavestone
Data Scientist
September 1, 2015 – September 1, 2017
Paris
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with a recent transition to an industry role (Ideogram). While the 'Member of Technical Staff' role aligns with the target, the lack of detailed project experience or contributions makes it difficult to assess cultural fit beyond a general alignment with a technically driven environment. The breadth of skills is focused on ML/CS research, which may require adaptation to broader software engineering practices in a typical industry setting.
Soft Skills & Operational Fit
The candidate's academic and research background suggests strong analytical, problem-solving, and independent research skills. The lecturer role implies good communication and presentation abilities. However, specific operational fit and soft skills related to team collaboration or project management in a corporate setting are not explicitly detailed in the provided data.