Pushing ML at Spotify forward in real-time data processing and large scale sharing of feature data, you will work closely with many of the ML teams at Spotify across missions including personalization, music recommendations, ads targeting, and more. Our mission is to enable every team at Spotify to iterate quickly on hypotheses and scale their models to data sets with hundreds of billions of data points.In this role, you will help define and build the next generation of ML feature stores at Spotify. And there’s never a bad night with Stage.We are looking for a Senior Data Engineer to help us define and build the next generation of Machine Learning (ML) infrastructure at Spotify. On an OK night, I leave Stage with a funny story to tell. On a really good night, I leave Stage with some new wisdom about life. She has taught me so much about resilience and the importance of pursuing your creative endeavours, no matter what.įinally, a big shout out to what has become my favorite dive bar in Stockholm and the backdrop to my formative mid-20s growing pains: the elusive Stage! I’ve taken foes, friends, and lovers there and it never disappoints. We met on a filmmaking bootcamp in Edinburgh back in 2015, bonded over Shik Shak Shok and our fascination with raw vegan YouTubers. Aside from being a very talented filmmaker, she’s also an incredible friend. We have accomplished so much and I can’t wait to see what else we can do together!Ī very special shout-out to my design partner-in-crime, Hanna Norlin (pictured far right, rocking a moustache), and my manager, Oylum Serin, for their trust in me from day one – I wouldn’t be the designer I am today without them.Īnother special shout-out to one of my lifelong friends – Maria Moss. First of all, a huge, huge, huge shout-out to my lovely Sharing family (pictured above) for their lightheartedness, passion, and crude jokes.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |