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Machine Learning Engineer at Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Higher School of Economics
Master's degree, Data Science
January 1, 2014 – January 1, 2016
Yandex School of Data Analysis
Computer Science
January 1, 2012 – January 1, 2014
V. N. Karazin Kharkiv National University
Bachelor's degree, Applied Mathematics
January 1, 2010 – January 1, 2014
Meta
Machine Learning Engineer
June 1, 2022 – Present
Berlin, Germany
Amazon
Machine Learning Engineer
May 1, 2020 – June 1, 2022
Berlin, Germany
i2x
Machine Learning Engineer
October 1, 2019 – April 1, 2020
Berlin, Germany
GlobalLogic
Machine Learning Engineer
December 1, 2017 – July 1, 2019
Kharkiv Region, Ukraine
QuantuMobile.com
Machine Learning Engineer
June 1, 2017 – October 1, 2017
Kharkiv Region, Ukraine
Yandex
Software Engineer
December 1, 2014 – May 1, 2017
Moscow, Russian Federation
Yandex
Software Engineer
July 1, 2013 – October 1, 2013
Saint Petersburg, Russian Federation
Mathematical Biostatistics Boot Camp
Coursera
June 24, 2026 – Present
Bioinformatics Algorithms
Coursera
June 24, 2026 – Present
Participant of III Summer Bioinformatics School
Bioinformatics Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked at diverse companies ranging from large tech giants (Meta, Amazon, Yandex) to smaller firms (i2x, GlobalLogic, QuantuMobile.com), indicating adaptability to different organizational cultures. The consistent focus on Machine Learning Engineer roles aligns well with the target role, suggesting a clear career path and interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test results are not provided.