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Senior Machine Learning Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Waterloo
Doctor of Philosophy (Ph.D.), System Design Engineering - Machine Learning and Computer Vision
January 1, 2012 – January 1, 2016
Shiraz University
Master’s Degree, Computer Engineering - Artificial Intelligence
January 1, 2007 – January 1, 2010
Shiraz University
Bachelor’s Degree, Computer Engineering
January 1, 2003 – January 1, 2007
Senior Software Engineer - Machine Learning
November 1, 2019 – Present
Element AI
Applied Research Scientist
May 1, 2018 – November 1, 2019
Synaptive Medical
Research Scientist - Machine Learning
May 1, 2017 – March 1, 2018
University of Waterloo
Postdoctoral Researcher
December 1, 2016 – May 1, 2017
Christie Digital Systems
Research Intern
November 1, 2013 – December 1, 2014
University of Waterloo
Teaching Assistant
April 1, 2012 – April 1, 2016
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, AI, and Computer Vision research and engineering. While these skills are valuable, the target role is 'Data Analyst'. This represents a significant pivot. The candidate's experience at Google as a 'Senior Software Engineer - Machine Learning' and at Element AI as an 'Applied Research Scientist' indicates a strong fit for research or ML engineering roles, but less direct alignment with typical data analyst responsibilities which often involve SQL, data visualization, A/B testing, and business intelligence tools. The lack of explicit data analysis projects or skills listed makes the cultural fit for a pure Data Analyst role questionable without further information.
Soft Skills & Operational Fit
The candidate's extensive academic and research background, including a Ph.D. and postdoctoral work, suggests strong analytical thinking, problem-solving, and independent research skills. Experience as a Teaching Assistant also indicates communication and mentorship abilities. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess collaboration, stress handling, or work attitude.