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Machine Learning at Spotify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning, statistics, personalization and recommender systems.
Tufts University
Doctor of Philosophy (PhD), Electrical Engineering
January 1, 2008 – January 1, 2012
Istanbul Technical University
Master of Science (M.Sc.), Telecommunications Engineering
January 1, 2006 – January 1, 2008
Istanbul Technical University
Bachelor of Science (B.Sc.), Telecommunications Engineering
January 1, 2001 – January 1, 2005
Spotify
Machine Learning Engineering Manager
March 1, 2026 – Present
Spotify
Staff Machine Learning Engineer
March 1, 2022 – March 1, 2026
Spotify
Machine Learning Engineering Manager
March 1, 2021 – April 1, 2022
Spotify
Senior Machine Learning Engineer
November 1, 2017 – March 1, 2021
Spotify
Data Science Engineer and Technical Lead
March 1, 2016 – November 1, 2017
NetApp
Research Engineer
October 1, 2014 – February 1, 2016
Boston, MA
Schlumberger
Research Scientist
December 1, 2012 – October 1, 2014
Cambridge, Massachusettes
Schlumberger
Research Intern
May 1, 2011 – September 1, 2011
Cambrige, MA, USA
Tufts University
Doctoral Research Assistant
September 1, 2008 – November 1, 2012
Tufts University
Teaching Assistant
September 1, 2008 – December 1, 2008
Istanbul Technical University
Research Assistant
September 1, 2006 – August 1, 2008
Istanbul, Turkey
Istanbul Technical University
Teaching Assistant
September 1, 2006 – August 1, 2008
Istanbul, Turkey
Finding Hidden Messages in DNA (Bioinformatics I) with Distinction
Coursera
June 24, 2026 – Present
Statistical Learning
Stanford University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory at Spotify, moving from Data Science Engineer to Staff Machine Learning Engineer and Engineering Manager, demonstrates a strong ability to grow within an organization and adapt to evolving technical landscapes. Their diverse experience across research, data science, and machine learning engineering, including work on generative AI and computer vision, indicates a broad technical curiosity and willingness to tackle varied problems. However, the target role of 'Data Analyst' is a significant mismatch with their senior-level Machine Learning Engineering and Management experience. While they possess strong analytical skills, the role itself might not leverage their full potential or align with their career progression, potentially leading to a poor cultural fit for a role that is likely less strategic and more execution-focused on basic data analysis.
Soft Skills & Operational Fit
The candidate's extensive experience in leading teams, mentoring junior engineers, and managing stakeholder relationships at Spotify indicates strong leadership, collaboration, and communication skills. Their background in research and development suggests a problem-solving mindset and adaptability to complex technical challenges. The descriptions of building systems from the ground up and spearheading new initiatives (e.g., LLMs in recommender systems) point to proactivity and innovation.