Miray Yuce

Miray Yuce

Senior Machine Learning Engineer @ Adobe

About Miray Yuce

Miray Yuce is a Senior Machine Learning Engineer currently working at Adobe in San Francisco, California. She has a diverse background in machine learning and engineering, with previous roles at Twitter, Audi AG, and The University of Freiburg.

Current Position at Adobe

Miray Yuce is currently employed as a Senior Machine Learning Engineer at Adobe. She has held this position since 2023 and is based in San Francisco, California. In her role, she focuses on developing and implementing machine learning solutions that enhance Adobe's product offerings.

Previous Experience at Twitter

Before joining Adobe, Miray Yuce worked at Twitter as a Machine Learning Engineer from 2021 to 2023. During her tenure, she contributed to the development of machine learning pipelines and an internal feature store, which are critical components of Twitter's machine learning infrastructure.

Work at Audi AG

Miray Yuce gained experience as a Machine Learning Engineer at Audi AG from 2018 to 2019. Her work involved collaborating on machine learning projects, including completing a master's thesis in machine learning while working with the company in Germany.

Education and Expertise

Miray Yuce holds a Bachelor of Science (B.Sc.) in Computer Engineering from Galatasaray Üniversitesi, where she studied from 2009 to 2014. She also earned a Master of Science (M.Sc.) in Computer Science from The University of Freiburg, completing her studies from 2017 to 2019. Her educational background has equipped her with a strong foundation in computer science and machine learning.

Background and Early Career

Prior to her machine learning career, Miray Yuce worked in various technical roles. She served as a Technical Hardware Support Intern at Eti in 2012 and as a System Engineer at Garanti BBVA Teknoloji from 2015 to 2017. Additionally, she worked as a Software Engineer at Persona Consultancy in 2014. Her early experiences contributed to her technical skills and understanding of system management.

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