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Senior Staff Machine Learning Software Engineer/TLM 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
Specialties: Machine Learning, Deep Leaning, Computer Vision, Information Fusion, Optimization, Signal Processing, Detection and Estimation
The Pennsylvania State University
Doctor of Philosophy (Ph.D.), Electrical Engineering
January 1, 2010 – January 1, 2015
University of Tehran
Master of Science, Electrical Engineering
January 1, 2006 – January 1, 2009
K.N. Toosi University of Technology
Bachelor of Science, Electrical Engineering
January 1, 2002 – January 1, 2006
Senior Staff Machine Learning Software Engineer/Senior Manager
October 1, 2024 – Present
Staff Machine Learning Software Engineer/Manager
November 1, 2021 – October 1, 2024
Senior Machine Learning Software Engineer
May 1, 2019 – October 1, 2021
Machine Learning Software Engineer
June 1, 2017 – April 1, 2019
Bosch USA
Senior Research Scientist
January 1, 2017 – January 1, 2017
Bosch USA
Research Scientist II, Deep Learning
March 1, 2016 – December 1, 2016
Bosch North America
Data Mining Intern for Bio-ASICs
September 1, 2014 – February 1, 2015
San Francisco Bay Area
Energy Efficient Buildings Hub
Intern
June 1, 2013 – August 1, 2013
Greater Philadelphia Area
The Pennsylvania State University
Teaching Assistant
August 1, 2011 – May 1, 2012
The Pennsylvania State University
Research Assistant
August 1, 2010 – March 1, 2015
Farayand Tadbir Co
Consultant engineer
May 1, 2007 – August 1, 2009
Iran
Cultural Fit Analysis
The candidate's extensive experience in research and development, particularly at Google and Bosch, demonstrates a strong fit for innovation-driven environments. Their academic background and progression through increasingly senior roles suggest a commitment to continuous learning and professional growth. However, the target role of 'Data Analyst' is a significant shift from their senior ML engineering and management roles, which might indicate a potential mismatch in career trajectory or a desire for a different type of challenge. The breadth of their experience, from academic research to industry leadership, suggests adaptability.
Soft Skills & Operational Fit
The candidate's progression through various roles at Google, including management positions, suggests strong leadership, problem-solving, and collaboration skills. Their research background implies analytical thinking and a methodical approach to complex problems. The descriptions of their roles, though brief, indicate an ability to lead and contribute to significant projects.