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Machine Learning Research Engineer
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Assessing your cultural and operational fit
I like to work at the intersection of Software Engineering and frontier Machine Learning, which has recently drawn me to LLMs and Agentic AI. Prior to that I was a Research Scientist at BayesGroup – one of the leading ML Research labs in Russia – where my interests mostly revolved around Probabilistic Modeling / Bayesian Inference and Deep Learning.
Higher School of Economics
Master of Science (M.Sc.), Applied Mathematics and Computer Science
January 1, 2015 – January 1, 2017
Computer Science Center
Data Mining and Software Engineering
January 1, 2012 – January 1, 2015
Saint Petersburg State University
Specialist, Mathematics and Software Engineering
January 1, 2010 – January 1, 2015
Google DeepMind
Senior Research Engineer
October 1, 2025 – Present
London, England, United Kingdom
Yandex
Senior Machine Learning Engineer
October 1, 2023 – September 1, 2025
Serbia · Hybrid
Career Break
Travel
July 1, 2022 – October 1, 2023
PulsePoint
Machine Learning Engineer
April 1, 2021 – July 1, 2022
Samsung R&D Institute & AI Center Russia
Research Scientist
July 1, 2018 – July 1, 2020
Moscow, Moscow City, Russia
Luka
AI Engineer
February 1, 2017 – June 1, 2018
Moscow, Moscow City, Russia
Software Engineering Intern
July 1, 2016 – October 1, 2016
San Francisco Bay Area
BayesGroup
Researcher
October 1, 2015 – June 1, 2017
Moscow, Moscow City, Russia
Yandex
Research Intern
October 1, 2014 – January 1, 2015
Saint Petersburg Metropolitan Area
Mozilla
Software Engineering Intern
July 1, 2014 – September 1, 2014
San Francisco Bay Area
EMC
Software Engineering Intern
July 1, 2013 – February 1, 2014
Saint Petersburg, Russian Federation
Music Sequence Recommender
June 1, 2014 – Present
The project goal was to implement a music recommendation engine from a paper and do some experiments with it
Cultural Fit Analysis
The candidate has a diverse background working in various research and engineering roles across different companies, including large corporations and startups. The career break and personal project indicate a degree of autonomy and initiative. However, the primary focus on research and machine learning might require careful evaluation for a pure Backend Engineer role, as the core backend system design and development experience is not explicitly detailed. The 'Music Sequence Recommender' project is relevant to ML but lacks specific backend technology details.
Soft Skills & Operational Fit
The candidate's resume indicates a strong research-oriented background with experience in complex problem-solving. The career break suggests a potential for self-management and personal development. However, without psychometric test results, it's difficult to assess specific soft skills like teamwork, stress handling, or work attitude.