Help & Supportcareers@gravityer.com
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 Scientist/Engineer
I like doing research, but I like it best when it can be applied to solve real world problems. My most recent contributions have been on anomaly detection in time series for cloud systems. In the past I've worked on a diverse set of applications, ranging from using computer vision to identify products in retail stores to recommender systems for online advertising (with or without images!). The common challenge? Making sure that the algorithms I put to production are the best that can be produced for the context. I've had the chance to work with a large number of machine-learning algorithms, from kmeans, bags-of-features, kernels and SVMs in the early days, to logistic regression, gbdt, deep neural networks like resnets, transformers, GANs as well as the never-too-old nearest neighbors. I've worked on large-scale distributed systems at Criteo and Datadog scales, using map-reduce, Spark, Kafka, as well as in-house frameworks. I also like giving talks, you can check most of them on slideshare: https://www.slideshare.net/AnneMarieT2/presentations Note: If you would like to connect with me and we haven't met before, I'll appreciate a few words to introduce yourself. Thanks!
École nationale des ponts et chaussées
Doctor of Philosophy (PhD), Mathematics and Computer Science
January 1, 2006 – January 1, 2010
CY Cergy Paris Université
Master of Science, Intelligent Systems
January 1, 2005 – January 1, 2006
Ecole nationale supérieure de l'Electronique et de ses Applications
Engineer, Computer science, electronics
January 1, 2003 – January 1, 2006
Lycée Chaptal
MPSI-MP*
N/A – Present
Lycée Renoir
Baccalauréat, Scientifique
N/A – Present
Career Break
Professional development
October 1, 2025 – Present
Paris, Île-de-France, France
Echo Analytics
Lead Machine Learning Engineer
October 1, 2024 – October 1, 2025
Paris, Île-de-France, France · Hybrid
Datadog
Senior Data Scientist
June 1, 2020 – September 1, 2024
Paris, Île-de-France, France
Criteo
Senior Research Scientist in Machine Learning
December 1, 2014 – June 1, 2020
Greater Paris Metropolitan Region
The Planorama Group
Lead Researcher
February 1, 2014 – November 1, 2014
Greater Paris Metropolitan Region
The Planorama Group
R&D engineer
April 1, 2010 – February 1, 2014
Greater Paris Metropolitan Region
Ecole nationale des Ponts et Chaussées
Teaching Assistant
October 1, 2007 – February 1, 2009
Champs-sur-Marne
Ecole nationale des Ponts et Chaussées
PhD Student
November 1, 2006 – February 1, 2010
Champs-sur-Marne
ONERA
PhD Student
November 1, 2006 – October 1, 2009
CEA - Commissariat à l'énergie atomique et aux énergies alternatives
Research engineer - internship
April 1, 2006 – September 1, 2006
Fontenay-aux-Roses
Managing Your Career as an Introvert
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across research, startups (Planorama, Echo Analytics), and large tech companies (Criteo, Datadog) suggests adaptability to different organizational cultures. The long tenure at Criteo and Datadog indicates stability. The career break for 'professional development' and 'personal projects' could indicate a desire for growth and autonomy, which might align well with innovative environments. The target role of Machine Learning aligns perfectly with the candidate's extensive background.
Soft Skills & Operational Fit
The candidate's career progression from R&D engineer to Lead Machine Learning Engineer and Lead Researcher indicates strong leadership potential, problem-solving abilities, and a capacity for driving technical initiatives. The description of working cross-platform during PhD suggests adaptability. The 'Managing Your Career as an Introvert' certification might indicate self-awareness and a proactive approach to professional development.