Authors : Marsan Ma, Nikhil Lopes, Raj Amrit, Hong Lu, Dipankar Biswas, Trent Kyono Leadership: Iris Wang, Madhu Kurup Recommendation and ranking systems power many of the most important experiences on large internet platforms. Yet the models that run in production are rarely the largest models we can train. They are usually compact, latency-sensitive supervised […]
All posts categorized in: Data Science
%s
Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments
Introduction At Indeed, our mission is to help people get jobs. We connect job seekers with their next career opportunities and assist employers in finding the ideal candidates. This makes matching a fundamental problem in the products we develop. The Ranking Models team is responsible for building Machine Learning models that drive matching between job […]
Want to Code as an Engineering Manager? Time to Find a Unicorn
Coding as an engineering manager is an exercise in cognitive dissonance. If you’ve just become a manager, you’ve likely been measuring success by the quantity and quality of the code you ship as an individual contributor (IC). Suddenly, you have new metrics for success and your day-to-day work looks wildly different. One mentor tells you […]