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Staff Software Engineer, ML Inference Performance at Twelve Labs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UCLA
Master's degree, Electrical Engineering
January 1, 2013 – January 1, 2015
University of Tehran
BSc, Electrical Engineering
January 1, 2009 – January 1, 2013
Twelve Labs
Staff Software Engineer - ML Inference Performance
November 1, 2023 – Present
United States · Remote
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Baidu USA
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Baidu USA
Senior Software Engineer
December 1, 2015 – June 1, 2017
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Design Automation Conference
Richard Newton Young Student Fellowship
April 1, 2014 – April 1, 2014
San Francisco Bay Area
UCLA Computer Science department, VAST Lab
Graduate Student
September 1, 2013 – December 1, 2015
Greater Los Angeles Area
Cultural Fit Analysis
The candidate has worked at several large, innovation-driven companies (NVIDIA, Intel, Baidu, Twelve Labs). This suggests an adaptability to fast-paced, research-intensive environments. The consistent focus on deep learning and performance optimization across different companies indicates a clear career trajectory and passion for the domain. However, the lack of diverse project types outside of core ML infrastructure and performance optimization might indicate a narrower scope of interest, which could be a factor depending on the specific team's needs for broader ML application development.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on technical roles involving performance optimization and development of core ML libraries. While specific soft skills are not explicitly detailed, the progression through senior roles at prominent companies suggests strong problem-solving, collaboration, and technical leadership abilities. The operational fit for a performance-focused ML Engineer role is very high.