
Research Student at Mila - Quebec Artificial Intelligence Institute
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
website: ethancaballero.github.io Machine Learning Researcher / Developer x = ethan ; y = victor ; z = caballero ; email adresses: x.y.z@gmail.com ; x.z@mila.quebec https://scholar.google.com/citations?user=KvLJAf0AAAAJ https://x.com/ethanCaballero
Mila - Quebec Artificial Intelligence Institute
Doctor of Philosophy - PhD, Machine Learning
January 1, 2020 – January 1, 2026
Mila - Quebec Artificial Intelligence Institute
Master's degree, Machine Learning
January 1, 2020 – January 1, 2022
Google DeepMind
Student Researcher
July 1, 2023 – December 1, 2023
Mila - Quebec Artificial Intelligence Institute
Graduate Student
September 1, 2020 – Present
Mila - Quebec Artificial Intelligence Institute
Research Assistant
June 1, 2020 – August 1, 2020
Mila - Quebec Artificial Intelligence Institute
Research Engineer/Developer
June 1, 2019 – May 1, 2020
Graphcore
AI / Machine_Learning Engineer
January 1, 2018 – May 1, 2018
San Francisco Bay Area
doc.ai
Machine Learning Developer Consultant
August 1, 2016 – September 1, 2016
Palo Alto
Talla
Applied Research Scientist Consultant
June 1, 2016 – July 1, 2016
Talla
Applied Research Scientist Consultant
January 1, 2016 – April 1, 2016
Loop AI Labs
Research Scientist Intern Consultant
August 1, 2015 – October 1, 2015
The Hive, LLC
Data Scientist Intern
June 1, 2015 – July 1, 2015
Neural Networks for Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and specialized AI/ML development roles, particularly within institutes like Mila and Google DeepMind. While this aligns well with a research-intensive ML Engineer role, the lack of diverse industry projects or team-oriented descriptions makes it challenging to fully assess cultural fit for a broader corporate environment. The focus on cutting-edge research and model implementation suggests a fit for innovative and technically challenging environments. The absence of project details limits the assessment of collaboration and broader impact beyond specific technical deliverables.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving research, development, and consulting, suggesting an ability to work independently and contribute to complex technical projects. The descriptions of explaining and gathering feedback on IPUs at Graphcore indicate some communication and collaboration skills. However, without specific assessment data or detailed project descriptions, it is difficult to fully assess soft skills like teamwork, leadership, or stress handling. The psychometric test score is 0, providing no insight into these areas.