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Maria Dimakopoulou

Director of ML Engineering, Head of Homepage Personalization at Spotify

Maria Dimakopoulou is a distinguished leader in the field of Home Personalization Engineering, currently spearheading a 60-people team at Spotify focused on delivering tailored content recommendations to over 600 million users.

With extensive experience in ML disciplines such as contextual bandits, reinforcement learning, deep networks, and causal inference, Maria's expertise also extends to ML infrastructure, data engineering, and backend systems at scale.

Prior to Spotify, Maria played pivotal roles at Netflix, where she led causal ML initiatives and drove the Adaptive Experimentation working group, revolutionizing experimentation capabilities.

Maria's academic journey includes a Ph.D. in Reinforcement Learning & Causal Inference from Stanford University, and she has contributed significantly to large-scale optimization algorithms during her tenure at Google Research.

Recognized for her exceptional contributions, Maria has received prestigious accolades such as selection in Spotify's R&D Senior Leadership Program, inclusion in Forbes 30 under 30 Greece, and Stanford's Outstanding Academic Achievement award.

For further details on Maria Dimakopoulou's professional background, you can refer to her CV: https://mdimakopoulou.github.io/assets/docs/CV.pdf

Highlights

Jun 3 · linkedin

It was amazing to speak about "Personalization at Spotify" at the 2024 Stanford University "Causal Science Conference on Experimentation" and the 2024 Netflix "Workshop on Personalization, Recommendation and Search" events on Friday, May 31st. It was great fun reuniting with stunning current & former colleagues 🥰, meeting new people across industry & academia who share the same passion for recommendations, machine learning & causal inference and experiencing both audiences' interest in the innovation we do at Spotify to power our Homepage Personalization.

Thank you to both events' organizers for having me and for the impeccable organization of these two memorable, action-packed events! 👏

https://lnkd.in/ggrK-NBk

https://lnkd.in/gWwu3-Ci

Jan 6 · linkedin

Happy New Year! 2023 opens an exciting new chapter for me as I am stepping into the Engineering Product Area Lead role of Home Personalization at Spotify.

Spotify's Home Personalization Engineering is an organization of 58 remarkably talented Engineers and Managers who build the ML models and systems behind all Spotify Homepage recommendations across music, podcasts & audiobooks for Spotify's 465 million listeners. The 10 teams within Spotify's Home Personalization innovate on a range of ML disciplines – deep learning, adaptive learning (contextual bandits & reinforcement learning), multi-objective optimization, causal inference – as well as ML infrastructure, data & backend systems at scale to generate, rank and distribute personalized recommendations that maximize listeners’ joy while supporting Spotify's strategic needs.

It is a privilege for me to lead this remarkable Product Area and progress together with our amazing partnering organizations across Spotify towards the company's mission "to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it".

Here is to a creative and bright year ahead!

Maria Dimakopoulou
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Location

Los Gatos, California, United States