
Staff Research Scientist at Google DeepMind
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Website: julianslzr.com Twitter, GitHub: @JulianSlzr Research: scholar.google.com/citations?user=Nd6DvD4AAAAJ
Harvard University
Bachelor of Arts, Mathematics
January 1, 2012 – January 1, 2017
Henry Wise Wood High School
High School Diploma
January 1, 2009 – January 1, 2012
Google DeepMind
Staff Research Scientist
November 1, 2025 – Present
Mountain View, California, United States
Google DeepMind
Senior Research Scientist
May 1, 2024 – October 1, 2025
Mountain View, California, United States
Senior Research Scientist
November 1, 2023 – May 1, 2024
Mountain View, California, United States
Research Scientist
January 1, 2023 – October 1, 2023
Mountain View, California, United States
Amazon Web Services (AWS)
Senior Applied Scientist
December 1, 2022 – January 1, 2023
Amazon Web Services (AWS)
Machine Learning Scientist II
December 1, 2018 – December 1, 2022
Amazon Web Services (AWS)
Machine Learning Scientist
August 1, 2017 – December 1, 2018
University of Chicago
Undergraduate Research Fellow
June 1, 2016 – August 1, 2016
Greater Chicago Area
University of Cambridge
Undergraduate Research Fellow
June 1, 2015 – August 1, 2015
Greater Cambridge Area
Top Hat
Mobile Developer
February 1, 2015 – July 1, 2015
Greater Toronto Area, Canada
JPMorgan Chase
Sales & Trading Summer Analyst
June 1, 2014 – August 1, 2014
New York City Metropolitan Area
Harvard University
Course Assistant (upper-level), Mathematics
January 1, 2014 – January 1, 2017
Harvard University
Teaching Fellow, Computer Science
September 1, 2013 – December 1, 2013
HubSpot
Software Engineer Intern
June 1, 2013 – August 1, 2013
Greater Boston
JACOS (Japan Canada Oil Sands Limited)
IT Intern
August 1, 2011 – August 1, 2011
Greater Calgary Metropolitan Area
Calgary Board of Education
Student Page
June 1, 2010 – August 1, 2011
Greater Calgary Metropolitan Area
@tlas
February 1, 2013 – Present
@tlas is a web and mobile application that highlights relevant local content. Using public streams and your social networks, @tlas finds nearby friends, places, events, and media, and displays this information through an intuitive map-based interface. Semi-finalist in the 2013 Harvard Innovation (i3) Challenge.
SoundFlo
October 1, 2012 – November 1, 2012
Soundflo is a ‘sound map’ of user-created audio. It is a website where users can upload their own audio files, assign a location to the file on an interactive map and listen to audio files uploaded by other users.
Cultural Fit Analysis
The candidate's background demonstrates a strong drive for innovation and a history of working in high-performance, research-intensive environments. Their involvement in personal projects like 'SoundFlo' and '@tlas' shows initiative and a creative approach to problem-solving. However, the career trajectory has been predominantly in AI/ML research, which is a significant departure from a dedicated Frontend Developer role. While the candidate has early experience in mobile and web development, the recent 10+ years have been focused on deep technical AI/ML. This creates a potential mismatch with the target role's typical cultural expectations for frontend specialization.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development at top-tier companies like Google DeepMind and AWS suggests strong problem-solving, analytical thinking, and collaboration skills. Their involvement in technical leadership roles indicates an ability to guide projects and teams. The early experience as a teaching fellow and course assistant also points to good communication and mentorship potential. However, the current profile is heavily skewed towards AI/ML research, which is not a direct operational fit for a Frontend Developer role.