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Software Engineer @ Meta
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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
North Carolina State University
Doctor of Philosophy (PhD)
N/A – Present
Iran University of Science and Technology
M.Sc
N/A – Present
Iran University of Science and Technology
B.Sc, Engineering
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.