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ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Director of Engineering, Core AI at LinkedIn
I am an engineering leader and machine learning expert with experience in building products with massive-scale distributed data pipelines serving personalized content on Twitter and LinkedIn. I currently lead an organization building foundation models for member understanding at LinkedIn. I previously led the home ranking and relevance as well as content ecosystem organizations, responsible for the personalization and relevance of Twitter’s core product surfaces such as home, conversations, video and search. Before this, I led the AI charter for LinkedIn's Jobs and Learning business units and a Foundations team working on core machine learning technologies. I have been working closely with the VP level Product leadership to drive product strategy thru’ AI technologies. Before joining LinkedIn and Twitter, I had a Ph.D. in Machine Learning from Princeton and worked in several notable applied research groups in Google, MERL, and UC Berkeley. I published and refereed papers at top-tier ML & AI venues such as UAI, ICML, PAMI.
Princeton University
M.A., Electrical Engineering, Information Sciences and Systems
January 1, 2007 – January 1, 2009
Princeton University
Ph.D, Electrical Engineering, Information Sciences and Systems
January 1, 2007 – January 1, 2012
Boğaziçi University
B.S., Electrical and Electronics Engineering
January 1, 2002 – January 1, 2007
Director of Engineering, Machine Learning
February 1, 2023 – Present
Mountain View, California, United States · On-site
Director of Engineering, Machine Learning
January 1, 2022 – February 1, 2023
San Jose, California, United States
Senior Engineering Manager, AI
November 1, 2018 – January 1, 2022
San Francisco Bay Area
Engineering Manager, AI
August 1, 2017 – October 1, 2018
San Francisco Bay Area
Tech Lead, Staff Software Engineer, AI
October 1, 2015 – August 1, 2017
San Francisco Bay Area
Senior Machine Learning Scientist
January 1, 2014 – October 1, 2015
Machine Learning Scientist
September 1, 2012 – January 1, 2014
Data Scientist
June 1, 2011 – September 1, 2011
Mitsubishi Electric Research Labs
Research Scientist
February 1, 2010 – July 1, 2010
Princeton University
Research Asistant in Machine Learning
September 1, 2007 – September 1, 2012
Princeton, NJ
University of California, Berkeley
Visiting Researcher
June 1, 2006 – August 1, 2006
Siemens
Engineering Intern
June 1, 2005 – August 1, 2005
Istanbul Museum of Modern Arts
Consultant
January 1, 2005 – February 1, 2005
Veripark
Software Developer
June 1, 2004 – September 1, 2004
Developing Executive Presence
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience at leading tech companies like LinkedIn, Twitter, and Google, coupled with a strong academic background, indicates a high cultural fit for a demanding, innovation-driven environment. Their history of leading significant AI initiatives and fostering talent aligns well with a culture that values technical excellence, leadership, and growth. The diversity of projects, from ad targeting to content recommendation and foundation models, shows adaptability and a broad interest in impactful ML applications.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and talent development skills, evidenced by their roles as Director of Engineering and Senior Engineering Manager. Their ability to transform 'how we work', drive data-driven initiatives, and modernize tech stacks indicates a proactive and impactful operational fit. Experience in managing large teams and cross-organizational initiatives suggests excellent collaboration and communication skills.