Senior Research Scientist @ Google DeepMind
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Assessing your cultural and operational fit
UCL
Doctor of Philosophy - PhD, Computer Science
January 1, 2020 – January 1, 2024
University of Oxford
Master of Science (MSc), Computer Science
January 1, 2016 – January 1, 2017
Yerevan State University
Master’s Degree, Informatics and Applied Mathematics
January 1, 2014 – January 1, 2016
Delta State University
Exchange Student, Computer Information Systems
January 1, 2013 – January 1, 2013
Yerevan State University
Bachelor’s Degree, Informatics and Applied Mathematics
January 1, 2010 – January 1, 2014
Google DeepMind
Senior Research Scientist
October 1, 2024 – Present
London Area, United Kingdom
UCL
Teaching Assistant
January 1, 2021 – August 1, 2024
London Area, United Kingdom
Meta
PhD Researcher
September 1, 2020 – September 1, 2024
London Area, United Kingdom
Information Sciences Institute
Research Engineer
March 1, 2020 – July 1, 2020
Reddit, Inc.
Machine Learning Engineer
March 1, 2019 – October 1, 2019
Toptal
Machine Learning Engineer
May 1, 2018 – July 1, 2020
Mentor Graphics
Research and Development Engineer
October 1, 2014 – September 1, 2016
Yerevan, Armenia
Exergy
Software Engineer
October 1, 2012 – July 1, 2013
Yerevan, Armenia
Instigate Design CJSC
Software Engineering Intern
May 1, 2012 – September 1, 2012
Yerevan, Armenia
Algorithms: Design and Analysis, Part 2 - Stanford University
Coursera
June 24, 2026 – Present
Scalable Machine Learning - University of California, Berkeley
edX
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1 - Stanford University
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes prestigious academic institutions and leading industry research labs (Google DeepMind, Meta), indicating a strong drive for innovation and excellence. Their involvement in open-ended discovery and contributing to foundational AI models suggests a proactive and curious mindset, which is highly beneficial for a research-oriented culture. The breadth of experience from software engineering to senior research scientist roles demonstrates versatility and a continuous learning approach.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant at UCL suggests strong communication and mentorship skills. Their involvement in co-leading projects like Rainbow Teaming indicates leadership and collaborative abilities. The diverse work history, including freelance roles, points to adaptability and self-management.