Machine Learning & AI engineering/research @Google Discover; ex-@Netflix, personalization, @AlgoFoundry, hiking, skiing & time travel. Views are my own.
Only took 30 years but I finally was able to see @SPACEHOG, my favorite band, play live! Their first concert together in almost half that time was right here! And they are still out-of-this-world.
Netflix has a simpler and better look! With this new update, it’s the same Netflix you know and love, but the fresh design gives you more title information at a glance, so it’s easier to find something to watch.
The new Netflix TV Experience will start rolling out to members later this month.
#RecSys2025 will once again boast an impressive industry program -- that is, if you 🫵 submit your latest and greatest case studies, lessons learned, real-world observations, and more. We're counting on you! 😍 Find out more 👉 https://t.co/4H98VmCDFo
Interested in joining our Personalization algorithms team at Netflix? We're hiring for several machine learning roles: engineers, researchers, and managers. See our open roles here:
https://t.co/oZRNiEUOf2
Are you a PhD student with a passion for machine learning and an eye for innovation? Join Netflix as an ML Intern in 2025 and help us redefine entertainment. Apply now or share with someone who’d love an opportunity #OnlyatNetflix https://t.co/jJROVrQQel
Now accepting applications for Spring or Summer 2025 Machine Learning research internships at Netflix. This includes the opportunity to work with our personalization teams. Learn more and apply heree: https://t.co/TCfy0htIM4
What do building recommender systems and raising kids have in common? A lot actually... to learn more see my slides on "Raising a (teenage) Recommender System: 13 lessons learned" from the #recsys2024 Large+Video RecSys workshop: https://t.co/7HayUA628l
Hi folks, what does creating recommender systems have in common with raising kids? Come find out in the talk I'm giving at the Large+Video RecSys workshop tomorrow with 13 lessons learned from raising the Netflix recommender system. #recsys2024 https://t.co/m1ncwrZG1k
Trying out something new: every Friday, I’ll personally try to help you find something to watch on Netflix. Goal is to understand where we can improve the experience and algos to help you in the future.
Drop in requests in the reply and I’ll get to them through the day!
Check out our latest Netflix techblog post about how we innovate on the reward function for our recommendation models to try and improve long-term member satisfaction. https://t.co/6TSmHeTqbQ
This year's @ACMRecSys CONSEQUENCES in-workshop will be given by our very own Yuta Saito! 😄 @usait0en
Counterfactual Learning and Evaluation for Recommender Systems: from Foundations to Emerging Challenges in the Era of LLMs
More info: https://t.co/Z04gZOWl1m
#RecSys2024
We're now accepting applications for a new fall 2024 Machine Learning Research internship/postdoc program at Netflix. Our personalization and search teams are especially looking for people working at the intersection of LLMs and these areas. Apply here: https://t.co/uIwzSMpVFL
Now hiring a manager for an exciting opportunity to lead a machine learning and recommendation algorithms team at Netflix with a focus on improving how we personalize new content types. More information and apply here: https://t.co/ePLgFsYlw7