David Salinas
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Scientist
I am working at ELLIS institute Tübingen and the university of Freiburg. Before that I worked 7 years at Amazon as a Senior Applied Scientist and 1 year at NAVER LABS Europe. I currently lead a research group focused on producing high-quality LLMs for all official European languages as part of two European projects: OpenEuroLLM and LLMs4EU. Our group specializes in pre-training, post-training, and evaluation of large language models. My research focuses on machine-learning, in particular in AutoML, LLMs, and probabilistic time-series forecasting. In the past, I also worked on Computational Topology and Geometry Processing. I deeply enjoy taking inspiration of real-problems to do academic research (and the other way around too!). Some of this research went into AWS services such as the forecasting service DeepAR. I am also very keen on working on open-source, I am a core developer of Syne Tune (Hyperparameter Optimization) and SlurmPilot (python wrapper to schedule experiments on Slurm). I was also a core-developer of Gluon-ts (time series forecasting), Datawig (data imputation) and Gudhi (computational topology).
Université Grenoble Alpes
Doctor of Philosophy (PhD), Computer Science
January 1, 2010 – January 1, 2013
École normale supérieure de Lyon
Master's degree, Computer Science
January 1, 2007 – January 1, 2010
ELLIS Institute Tübingen
Group Lead - OpenEuroLLM
February 1, 2025 – Present
Remote
Albert-Ludwigs-Universität Freiburg (Albert Ludwig University of Freiburg)
Machine Learning Researcher
April 1, 2024 – Present
Grenoble, Auvergne-Rhône-Alpes, France · Remote
Amazon Web Services (AWS)
Senior Machine Learning Scientist at Amazon
September 1, 2020 – May 1, 2024
NAVER LABS Europe
Senior Research Scientist
October 1, 2019 – September 1, 2020
Grenoble Area, France
Amazon
Senior Machine Learning Scientist
February 1, 2018 – September 1, 2019
Amazon
Machine Learning Scientist
October 1, 2016 – February 1, 2018
Amazon
Software Development Engineer
May 1, 2015 – September 1, 2016
Inria
Postdoctoral research associate
October 1, 2013 – March 1, 2015
Sophia-antipolis
Grenoble INP - Institut polytechnique de Grenoble
Graduate Teaching Assistant
October 1, 2010 – October 1, 2013
Grenoble INP - Institut polytechnique de Grenoble
PhD Student
October 1, 2010 – October 1, 2013
Hiroshima University
Research internship
June 1, 2009 – September 1, 2009
Hiroshima, Japan
Verimag
Research Internship
June 1, 2008 – September 1, 2008
Grenoble
Cultural Fit Analysis
The candidate has a strong background in research and development within large tech companies (Amazon, NAVER LABS) and academic institutions. This indicates a fit for environments that value innovation, deep technical expertise, and continuous learning. The transition from Software Development Engineer to Machine Learning Scientist at Amazon shows adaptability and a clear career progression in a data-focused domain. The target role of 'Data Analyst' might be a slight mismatch given the candidate's extensive senior-level ML Scientist and Group Lead experience, which typically involves more advanced modeling and system design than pure analysis. However, the 'Data Analysis' skill is listed in several roles.
Soft Skills & Operational Fit
The candidate's resume highlights leadership (Group Lead) and research roles, suggesting strong problem-solving, analytical thinking, and independent work capabilities. The descriptions of developing and deploying services indicate a results-oriented approach. However, specific soft skills like teamwork, communication, or adaptability are not explicitly detailed in the provided data.