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Senior Research Engineer at Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI researcher with 10 years of experience working on large-scale search and ranking systems.
Stanford University
MS, Electrical Engineering
January 1, 2012 – January 1, 2014
University of Illinois Urbana-Champaign
BS, Electrical Engineering
January 1, 2008 – January 1, 2012
Illinois Mathematics and Science Academy
High School
January 1, 2005 – January 1, 2008
Meta
Senior Research Engineer
January 1, 2026 – Present
New York, New York, United States
Apple
Senior Machine Learning Engineer
September 1, 2018 – December 1, 2023
SalesforceIQ
Machine Learning Engineer
May 1, 2014 – September 1, 2018
Cultural Fit Analysis
The candidate has worked at prominent, fast-paced tech companies (Meta, Apple, SalesforceIQ), indicating an ability to thrive in demanding environments. Their experience spans various ML applications (search ranking, NER, buyer intent signals), suggesting adaptability and a broad interest in ML challenges. The role at Meta as a 'Senior Research Engineer' aligns with a continuous learning and innovation mindset. The target role of ML Engineer aligns well with their career trajectory and demonstrated skills.
Soft Skills & Operational Fit
The candidate's experience at Apple and SalesforceIQ suggests strong problem-solving skills, leadership in technical areas (leading redesigns, company-wide training), and the ability to drive measurable business impact. The description of leading Scala training indicates good communication and mentorship potential. However, without specific psychometric or English test results, a detailed assessment of soft skills and operational fit is limited.