Mehdi Mashayekhi
ML EngineerSoftware Engineer @ 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
Software Engineer @ 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
Currently at Meta's Super Intelligence Labs developing RLHF-based alignment systems to align LLM behavior with user preferences at production scale. Areas I'm excited about include AI alignment & safety, reinforcement learning, multiagent systems, and responsible AI. My interest is in learning and continuing to do (applied) research and publishing papers. Github: https://github.com/mehdimashayekhi
Iran University of Science and Technology
B.Sc, Engineering
N/A – Present
North Carolina State University
Doctor of Philosophy (PhD)
N/A – Present
Iran University of Science and Technology
M.Sc
N/A – Present
Meta
Staff Software Engineer
March 1, 2024 – Present
Meta
Senior Software Engineer, Machine Learning
December 1, 2021 – March 1, 2024
Apple
Machine Learning Scientist
August 1, 2020 – November 1, 2021
Cupertino, California, United States
eBay
Applied Research Scientist
April 1, 2017 – August 1, 2020
San Jose, California, United States
North Carolina State University
Research Assistant
August 1, 2014 – December 1, 2016
North Carolina State University
Research and Teaching Assistant
August 1, 2012 – May 1, 2014
Iran University of Science and Technology
Research Assistant
September 1, 2009 – September 1, 2011
Iran
Natural Language Processing
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, especially in research-heavy or innovative environments. Their experience spans various critical areas of ML (LLMs, Responsible AI, Privacy-Preserving ML, NLP) across different companies, indicating adaptability and a broad interest in the field. Their contributions to published papers and blog posts suggest a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate's experience at top-tier companies (Meta, Apple, eBay) in senior and staff roles suggests strong leadership, collaboration, and problem-solving skills. Their involvement in leading projects and mentoring indicates operational readiness and ability to drive initiatives. The descriptions imply a focus on impactful, production-scale solutions.