Manager, AI/ML at Netflix. Previously at Pandora.
Oakland, CA
Joined January 2017
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Erik Schmidt retweeted
We're now accepting applications for Machine Learning research internships at Netflix Research for summer 2024, including in our personalization, recommendations, and search teams. Find out more and apply here: jobs.netflix.com/jobs/300628…
Erik Schmidt retweeted
Amazing talk by @VitoOstuni and Christoph Kofler on Personalized Recommendations on Netflix. #NetflixResearch #TheWebConf2023 #WWW2023
Erik Schmidt retweeted
Looking for an audio embedding benchmark for music? Working on a music ML task and need a good audio model to start? Supporting code for our @ISMIRConf paper is now available including the MULE model: github.com/PandoraMedia/musi…
W/ @fdelamuerte, @sergiooramas, @fgouyon, A.F. Ehmann.
Erik Schmidt retweeted
Happy to announce we're accepting applications from currently enrolled PhD students in Machine Learning (or related areas) who are graduating before summer 2023 for multiple full-time Research Scientist positions at Netflix that would begin then. jobs.netflix.com/jobs/233368…
Erik Schmidt retweeted
Now open for applications for ML research internships at @NetflixResearch next summer, a variety of topics on offer & a great way to spend 3 months in a cool environment, interns in our team often end up with a publication as a result jobs.netflix.com/jobs/234882…
Erik Schmidt retweeted
Excited to present our work on "Augmenting Netflix Search with In-Session Adapted Recommendations" at #RecSys2022. Check out our extended abstract co-authored with @__sudarshan__ :lnkd.in/gW_pbzfM
#search #RecSys #IR #MachineLearning
Erik Schmidt retweeted
My Goodbye Pandora song made it to the Wall Street Journal! So grateful to be part of this fun article ❤️ (N.B. check out the comments sections, humans are fascinating) wsj.com/articles/dont-be-the…
Erik Schmidt retweeted
Interested in building the systems that we use to create the machine learning algorithms for personalizing the Netflix homepage? We're hiring a software engineer to join our team. Read more and apply here: jobs.netflix.com/jobs/137785…
Erik Schmidt retweeted
Hey #recssys2021, don't miss @ehsan_saberian's talk on "RecSysOps" that shares some best practices we've learned at Netflix for operating a recommender system , which coming up shortly during the reception.
Erik Schmidt retweeted
congrats to @NetflixResearch colleagues Harald Steck and @dawen_liang for having their paper in the best paper finalists @ACMRecSys :-)
Erik Schmidt retweeted
Dear Internets, last Friday was my last day at Pandora. I will be joining Adobe Research at the end of the month. I wrote a song about it: youtu.be/zfCso5Eng8k
Erik Schmidt retweeted
Parler CEO says even his lawyers are abandoning him theverge.com/2021/1/10/22223…
No mainstream tech company should support a site that allows calls for violence against our legislators.
Hoping @Jira @github @SlackHQ won’t be helping them rebuild on new infrastructure.
buzzfeednews.com/amphtml/joh… – at Emerald Lake Hills, CA
Sure to be a titanic presentation :) – at Colorado, USA
Excited to be presenting this work at @ismir2020 next week! It's about moods, music, listeners, and other happy stuff. Come and say hi! urinieto.com/moods-paper-202… /cc @erikmschmidt @MinzWon @sergiooramas
Erik Schmidt retweeted
I selected my favorite content of #recsys2020. As a first timer, I really enjoyed this conference! I just missed the real caipirinhas urinieto.com/2020/09/recsys2…
Erik Schmidt retweeted
Slides from my talk yesterday at the Netflix Expo at #RecSys2020 about "Recent Trends in Personalization at Netflix" covering some areas that we're working on at @NetflixResearch plus plenty of open challenges slideshare.net/justinbasilic…
Erik Schmidt retweeted
The Machine Learning for Media Discovery (ML4MD) workshop will take place tomorrow (Saturday) at 9am PST! Here the instructions on how to attend: sites.google.com/view/ml4md2… See you tomorrow, titans! /cc @erikmschmidt @moustaki @kmkinnaird @fgouyon
Erik Schmidt retweeted
Quite a few of us from @NetflixResearch will be available on our virtual booth until Thursday evening (icml.cc/ExpoConferences/2020…). Also, a quick plug for the Machine Learning for Media Discovery workshop we're co-organizing on Saturday: sites.google.com/view/ml4md2… :)