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Multimodal Large Language Models
Experienced machine learning and computer vision research engineer with technical leadership and mentoring experience at Google, Amazon, Microsoft Research, NEC Labs, Character AI and currently at Deep Mind. PhD in Machine Learning and BS in Computer Science & Mathematics from the top ranked French Engineering school. 20 publications and 4000+ citations in CVPR, ICCV, NIPS and similar conferences. Former CTO at a YC backed startup and top 2 contributor to Nim programming language. Passionate about solving real-world engineering problems, from ImageNet classification (winning team) to large scale infrastructure (detection, segmentation at petabyte scale) to building new features and products from the ground up. - publications: https://scholar.google.com/citations?hl=en&user=pkFzb9QAAAAJ - github: https://github.com/timotheecour, gitlab: https://gitlab.com/users/timothee-cour
École Polytechnique
Bachelor of Science - BS, Computer Science & Applied Math
N/A – Present
University of Pennsylvania
Doctor of Philosophy - PhD, Computer Science
N/A – Present
University of Pennsylvania
Master of Science - MS, Computer Science
N/A – Present
Google DeepMind
Research Engineer
August 1, 2024 – Present
Mountain View, California, United States
Character.AI
Research Engineer, Multimodal LLMs
November 1, 2023 – August 1, 2024
Menlo Park, California, United States · On-site
Amazon
Principal Applied Scientist
February 1, 2022 – March 1, 2023
San Francisco Bay Area
Nim Programming Language
Core Developer
January 1, 2020 – January 1, 2022
Visual One
Co-founder and CTO
August 1, 2019 – December 1, 2019
(Accepted to Y Combinator)
Virgo
Technical Advisor
November 1, 2017 – December 1, 2021
Lighthouse AI
Sr Machine Learning engineer
August 1, 2016 – September 1, 2017
palo alto, CA
Senior Software Engineer
December 1, 2012 – May 1, 2016
Mountain view, CA
NEC Laboratories America, Inc.
research scientist
July 1, 2010 – November 1, 2012
(Media Analytics)
Ecole normale supérieure
postdoctoral researcher
March 1, 2009 – June 1, 2010
Microsoft Research
research intern
June 1, 2005 – September 1, 2005
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards cutting-edge AI/ML research and development, working with prominent organizations and contributing to significant projects. Their diverse experience across research, startups, and large tech companies indicates adaptability and a broad perspective. However, the target role is 'Data Analyst', which appears to be a significant mismatch with their extensive senior-level research and engineering background in AI/ML. While they possess strong analytical skills, the role might not fully leverage their deep expertise in model development, system architecture, and research, potentially leading to underutilization of their advanced capabilities. The lack of specific 'Data Analyst' focused projects or roles is a notable gap for cultural fit to this specific role.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Tech Lead, Co-founder/CTO, Principal Applied Scientist) suggests strong leadership, problem-solving, and strategic thinking abilities. Their involvement in open-source development (Nim) indicates collaboration and mentorship skills. The descriptions of their work imply a results-oriented and innovative approach. However, without specific psychometric or English test results, a direct assessment of communication clarity, work attitude, stress handling, and team collaboration is limited to inferences from their professional descriptions.