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Generative Models | Vision Language Models @ Moonvalley
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Weizmann Institute of Science
Master of Science (MS), Computer Science
January 1, 2013 – January 1, 2015
Tel Aviv University
Bachelor of Science (BS), Computer Software Engineering
January 1, 2009 – January 1, 2013
Moonvalley
Technical Staff
November 1, 2024 – Present
Senior ML Software Engineer, Google Research
September 1, 2021 – November 1, 2024
Computer Vision, Google Research
April 1, 2019 – September 1, 2022
Microsoft
Machine Learning Researcher
December 1, 2016 – March 1, 2019
Fifth Dimension
Computer Vision and Machine Learning algorithm developer
November 1, 2015 – December 1, 2016
Mentor Graphics
Software Engineer
July 1, 2011 – October 1, 2013
Israel Defense Forces
Electrical Engineer
January 1, 2010 – July 1, 2011
Israel Defense Forces
Optical Engineer
January 1, 2006 – June 1, 2009
Cultural Fit Analysis
The candidate has a strong background in research and development within large, innovative tech companies (Google, Microsoft, Moonvalley). This indicates a fit for fast-paced, technically challenging environments. However, the target role is 'Data Analyst', which is a significant pivot from their extensive ML/Computer Vision background. While their analytical skills are likely strong, the direct alignment with typical data analyst responsibilities (e.g., SQL, BI tools, A/B testing, dashboarding) is not explicitly demonstrated, which could impact cultural fit for a pure data analyst role.
Soft Skills & Operational Fit
The candidate's experience at Google as a Senior ML Software Engineer and TL suggests strong leadership, problem-solving, and collaboration skills. The descriptions indicate an ability to drive projects from conception to implementation in complex environments. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.