Algorithm Blog Designing Pipeline-centric 
DoorDash Engineering
NOVEMBER 28, 2023
It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. The idea was to create a one-stop shop for users to collect data from different sources and then clean and organize it for use by machine learning algorithms.
Pinterest Engineering
SEPTEMBER 20, 2023
These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. To learn more about engineering at Pinterest, check out the rest of our Engineering Blog and visit our Pinterest Labs site.
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Lyft Engineering
APRIL 3, 2023
This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. This blog mostly focuses on the mode selector to explain how rankings have evolved in the past years and briefly touches on the post request cross-sells.
Data Engineering Weekly
APRIL 2, 2023
Twitter: Twitter's Recommendation Algorithm Twitter open-source its recommendation engine code. There are some interesting threads on Twitter, but the highlight for me is the design of the Tweet search system. The blog highlights some of the immediate wins but also highlights the new set of challenges with Databricks.
Cloudera
NOVEMBER 15, 2021
This blog discusses quantifications, types, and implications of data. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. Data annotation.
Knowledge Hut
MARCH 22, 2024
In this blog post, I will guide you through crafting a compelling response to "Why should we hire you," provide examples, discuss “Why should we hire you answers,” and highlight common pitfalls to avoid in the process. In my previous role, I led the development of a recommendation system that improved user engagement.
Maxime Beauchemin
JANUARY 20, 2017
The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Data is simply too centric to the company’s activity to have limitation around what roles can manage its flow.
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