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Director of Engineering, Head of Applied AI at Stability AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Oregon State University
Doctor of Philosophy (PhD), Computer Science
January 1, 2007 – January 1, 2012
Iran University of Science and Technology
Master of Science (M.Sc.), Computer Science
January 1, 2005 – January 1, 2007
Stability AI
Director of Engineering, Head of Applied AI
March 1, 2024 – Present
Senior Engineering Manager, Machine Learning: Trust and Safety
April 1, 2020 – September 1, 2023
San Francisco Bay Area
Tech Lead, Machine Learning
January 1, 2018 – March 1, 2020
Menlo Park
Microsoft
Senior Applied Machine Learning Researcher
March 1, 2013 – January 1, 2018
Sunnyvale, CA
InsightsOne
Data Scientist
September 1, 2012 – March 1, 2013
Santa Clara
Yahoo!
Research Scientist Intern
June 1, 2011 – September 1, 2011
BIOTRONIK
Machine Learning Engineer Intern
June 1, 2008 – September 1, 2008
Oregon State University
PhD Candidate
September 1, 2007 – September 1, 2012
Corvallis, Oregon, United States
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and AI, with roles ranging from Research Scientist Intern to Director of Engineering. While the target role is 'Data Analyst', the candidate's background is heavily skewed towards advanced ML engineering and leadership. This indicates a potential mismatch in the day-to-day responsibilities and scope typically associated with a Data Analyst role, which often focuses more on reporting, dashboarding, and business intelligence rather than model development and team management. The breadth of experience across different applications (advertising, trust & safety, misinformation) demonstrates adaptability, but the depth is in ML/AI, not traditional data analysis.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Director of Engineering, Senior Engineering Manager, Tech Lead) at prominent tech companies suggests strong operational fit, including project management, team collaboration, and strategic thinking. The descriptions of managing large teams and diverse product areas imply strong communication and problem-solving skills. However, without specific psychometric or English test results, a direct assessment of soft skills like stress handling or communication clarity is limited.