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Research Engineer at Google DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master of Science - MS, Computer Science
January 1, 2020 – January 1, 2023
Dartmouth College
BA, Computer Science, Mathematics, Economics
January 1, 2011 – January 1, 2015
Google DeepMind
Senior Staff Research Engineer
September 1, 2023 – Present
Software Engineer, Machine Learning
May 1, 2022 – September 1, 2023
DeepMind
Research Engineer
April 1, 2019 – April 1, 2022
Mountain View, California, United States
Freenome
Machine Learning Scientist
January 1, 2018 – April 1, 2019
Silicon Valley AI Lab
Software Engineer
November 1, 2016 – December 1, 2017
Software Engineer
July 1, 2015 – November 1, 2016
Cultural Fit Analysis
The candidate's experience at multiple leading AI research and product companies (Google DeepMind, DeepMind, LinkedIn, Silicon Valley AI Lab) demonstrates a strong alignment with an innovative, fast-paced, and research-driven culture. Their involvement in diverse ML applications (RL, meta-learning, language models, speech synthesis, biological data) indicates intellectual curiosity and adaptability, which are positive indicators for cultural fit in a dynamic ML environment.
Soft Skills & Operational Fit
The candidate's career progression and roles at top-tier AI companies suggest strong problem-solving, collaboration, and adaptability skills. The descriptions, though brief, indicate a focus on impactful projects and core team contributions, which aligns with a senior operational fit.