Thomas Bredillet
Data AnalystMember of Technical Staff at OpenAI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Member of Technical Staff at OpenAI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm an AI scientist currently doing frontier research at OpenAI. I sometimes go by 'tnb'. Most of my professional career has been implementing a range of machine learning algorithms to improve a bottom line, which I've done at Kantar (ads), Google (ads), Meta (recommender systems) and OpenAI (research). I am interested in hard problems, specifically when it comes to algorithms and machine learning.
New York University
Master, Mathematics
January 1, 2010 – January 1, 2012
Université Paris Dauphine - PSL
Master, Statistics, Financial Mathematics
January 1, 2009 – January 1, 2010
IMT Atlantique
Master, Engineering
January 1, 2007 – January 1, 2012
Université de Bretagne Occidentale
Bachelor, Mathematics
January 1, 2007 – January 1, 2008
OpenAI
Member of Technical Staff
June 1, 2025 – Present
Remote
Meta
Principal ML/AI Researcher
April 1, 2024 – March 1, 2025
Remote
Principal ML/AI Researcher
June 1, 2017 – April 1, 2024
Greater New York City Area · Remote
Software Engineer
May 1, 2015 – June 1, 2017
Greater New York City Area
Kantar
Senior Research Scientist
January 1, 2014 – May 1, 2015
New York City Metropolitan Area
WooRank
Cloud Engineer
September 1, 2013 – January 1, 2014
Brussels
Valipat S.A.
Software Engineer
January 1, 2013 – September 1, 2013
Brussels Be
Tivity, Inc
Software Engineer
January 1, 2010 – January 1, 2013
New York
Université Paris Dauphine
Master Degree Thesis
September 1, 2009 – June 1, 2010
Paris Area, France
Alternator
March 1, 2012 – Present
Local version of AWS DynamoDB
Algorithms: Design and Analysis, Part 2
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked at several top-tier technology companies (OpenAI, Meta, Instagram, Google), which suggests an ability to thrive in high-performance, innovative environments. Their experience spans various domains within ML/AI and data analytics, indicating a broad interest and adaptability. However, the target role is 'Data Analyst', which might be a step down from their 'Principal ML/AI Researcher' and 'Member of Technical Staff' roles, potentially indicating a mismatch in career trajectory or expectations for the specific role.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in setting ML directions, mentoring, and presenting at conferences, indicating strong communication and leadership skills. Their work on diverse projects suggests adaptability and problem-solving capabilities. However, without specific psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is not possible.