Coffee Sessions #154

Machine Learning Education at Uber

Melissa and Michael discuss the education program they developed for Uber's machine learning platform service, Michelangelo, during a guest appearance on a podcast. The program teaches employees how to use machine learning both in general and specifically for Uber. The platform team can obtain valuable feedback from users and use it to enhance the platform. The course was designed using engineering principles, making it applicable to other products as well.

Take-aways

Uber wins by scaling ML, we scale ML by education

In this episode

Melissa Barr

Melissa Barr

ML & AI Technical Program Manager, Uber

Melissa Barr is a Technical Program Manager for ML & AI at Uber. She is based in New York City. She drives projects across Uber’s ML platform, delivery, and personalization teams. She also built out the first version of the ML Education Program in 2021.

LinkedIn

Michael Mui

Michael Mui

Staff Technical Lead Manager, Uber

Melissa Barr is a Technical Program Manager for ML & AI at Uber. She is based in New York City. She drives projects across Uber’s ML platform, delivery, and personalization teams. She also built out the first version of the ML Education Program in 2021.

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.

Lina Weichbrodt

Lina Weichbrodt

Host

Lina is a pragmatic freelancer and machine learning consultant that likes to solve business problems end-to-end and make machine learning or a simple, fast heuristic work in the real world. In her spare time, Lina likes to exchange with other people on how they can implement best practices in machine learning, talk to her at the Machine Learning Ops Slack: shorturl.at/swxIN. She works with LLMs at her current client, a stealth startup.