Uber, Netflix, Slack & 25 other blogs
Filter

Elastic Deep Learning with Horovod on Ray

Introduction In 2017, we introduced Horovod, an open source framework for scaling deep learning training across hundreds of GPUs in parallel.  At the time, most of the deep learning use cases at Uber were related to the research and … The post Elastic Deep Learning with Horovod on Ray appeared first on Uber Engineering Blog. ...


Meeting… Cindy Taibi, Chief Information Officer at The New York Times

Celebrating Women’s History MonthThis March, we are featuring colleagues from across The New York Times in a special Women’s History Month series of ‘Meeting’.Illustration by Claire MerchlinskyWhat are your pronouns?She/HerWhat is your job title and what does it mean?Chief Information Officer. To me, it means that I lead the teams that a) empower our company and our w...


Remote Workstations for the Discerning Artists

By Michelle BrennerNetflix is poised to become the world’s most prolific producer of visual effects and original animated content. To meet that demand, we need to attract the world’s best artistic talent. Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need....


How Pinterest fights misinformation, hate speech, and self-harm content with machine learning

Vishwakarma Singh | Trust and Safety Machine Learning Lead & Dan Lee | Trust and Safety Data Scientist LeadPinterest is an inspiration network where people come for positivity and new ideas, and there’s nothing inspiring about harmful content. As a visual discovery engine with hundreds of billions of Pins, it’s essential we use the latest in machine learning to qu...


Do more with Dgraph Lambda

Do more with Dgraph Lambda Dgrapgh Lambda in Slash GraphQL is a serverless framework that lets you run Javascript or Typescript function in response to GraphQL queries or mutations....


Meeting… Natasha Dykes, Senior Software Engineer at The New York Times

Celebrating Women’s History MonthThis March, we are featuring colleagues from across The New York Times in a special Women’s History Month series of ‘Meeting’Illustration by Claire MerchlinskyWhat are your pronouns?She/HerWhat is your job title and what does it mean?I’m a Senior Software Engineer on the Messaging Pipeline team. I work on a microservice application tha...


How We Rearchitected Mobile A/B Testing at The New York Times

We use A/B tests to make decisions about the products and features we release, but our mobile test allocation wasn’t separating users properly and we had to figure out how to fix it.Illustration by Patrick KyleBy Julian Locke and Sameer MoreIn early 2020, the mobile engineering teams at The New York Times noticed an issue: our A/B tests were separating users at the wr...


Private libraries in Android — how to manage them.

Private libraries in Android — how to manage them.This post is part of a series on private libraries:Part 1: Private libraries in Android — why you should consider itPart 2: Private libraries in Android — how to manage themIn the first part of the series, we talked about the benefits of private libraries. On top of modularizing our code, they help us build reusable co...


How eBay’s Distributed Architecture Surfaces More Item Listings for Buyers

With Buyer Demand Data, eBay sellers can access information on the item specifics buyers are using in their search queries. This insight increases sellers’ completion of item specifics, which in turn further enhances listings’ quality, visibility and sales....


A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

Stephanie Lane, Wenjing Zheng, Mihir TendulkarSource credit: NetflixWithin the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. What does this title mean within a given company, or even within a given industry? It can be hard to know from the outside. At Ne...