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Programming Throwdown

Search at Etsy

Programming Throwdown

Patrick Wheeler and Jason Gauci

Objective C, Java, Programming Throwdown, Education, News, Programming Languages, How To, Tech News, C, Python

4.6604 Ratings

🗓️ 7 October 2019

⏱️ 79 minutes

🧾️ Download transcript

Summary

What actually happens when you type something in the search bar at the top of etsy.com and hit enter? This awesome interview with Liangjie Hong, Director of Data Science and Machine Learning, answers that question all the way from the philosophical (what should we show first?) to the inner workings (what is a reverse index and how does it work?). We also dive into what it's like to intern at a tech company. Happy Hacking! Show Notes: https://www.programmingthrowdown.com/2019/10/episode-94-search-at-etsy.html

Transcript

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0:00.0

Programming Throwdown, Episode 94. Search at Etsy. Take it away, Jason.

0:20.3

Hey, everybody. We have a pretty awesome episode here we have an interview

0:24.5

episode with liang g who's director of engineering data science and machine learning at etzi and langji's

0:31.0

is going to tell us you all about kind of how search works when you type search a search query into that box

0:36.5

what what actually happens under the hood?

0:39.4

Langji, why don't you talk about, like introduce yourself and talk about, you know,

0:43.6

kind of what led you to the path that took you to where you are now?

0:47.4

Yeah, sure.

0:48.4

First of all, thank you for having me here.

0:50.9

So I'm Liangji Holm.

0:52.9

I'm the director of engineering data science and machinery here at Etsy. So I'm Liang Ji Hong. I'm a director of engineering data science and machine learning here at

0:56.5

Etsy. So I'm managing the organization of applying machine learning to a lot of different

1:03.8

product here at Etsy. So currently we have a mix of data scientists and a machine engineer here at ETC, working on programs like

1:14.5

search, which is kind of a major topic we are going to talk about today, as well as other domains

1:20.7

like recommendations, advertising as well.

1:25.5

We have engineers present in both of our headquarter New York City office

1:31.5

as well as San Francisco office and we are hiring and growing teams there as well. Before coming

1:40.9

to Etsy in 2016, I worked in Yahoo Research in California, so I first joined

1:49.6

as a research scientist and later as a senior research scientist and later promoted

1:54.0

to managing a group of researchers, focusing on personalization recommendations, as well as some of the mobile search

2:03.6

innovations back then. So that is a path that lead me to figuring out how to best for

2:13.6

few of us, providing the most relevant to users, most relevant result to users,

...

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