Eva Martin is a Senior Machine Learning Engineer at Spotify with 11 years of applied ML and data science experience across industry and research. She holds a PhD in Computer Science (Machine Learning) and transitioned academic research into production-grade ML while at Ekkono Solutions and now contributes to recommendation and personalization efforts at Spotify. Her background spans full-model lifecycle work—research, prototyping during a visiting researcher stint in Paris, and deploying scalable solutions in Stockholm. Eva has steered technical strategy as a senior data scientist and advised Women in Tech Gothenburg, signaling a commitment to mentorship and inclusive tech. Comfortable bridging telecoms, BI and advanced ML, she brings both theoretical depth and practical product impact. A detail that sets her apart: she moved from a PhD directly into shaping edge and embedded ML solutions before scaling to large-platform recommendations.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science - Machine Learning, Doctor of Philosophy - PhD Computer Science - Machine Learning at Blekinge Institute of Technology
Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Universidad Rey Juan Carlos
Contributions:28 pushes, 1 branch in 1 year 9 months
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Eva Martin - Senior Machine Learning Engineer at Spotify