Deep in the Heart of Texas - How Indeed Embraced Deep Learning to Help People Get Jobs!
Over the past decade, Deep Learning has demonstrated significant performance gains in numerous important application domains. This has resulted in a marked shift in the machine learning landscape. Although we dabbled prior, in 2017 Indeed began concerted efforts to explore how these techniques could be leveraged to deliver transformational business value. Ultimately, we decided to hire a technical Deep Learning lead to accelerate these initiatives. In this talk, we will outline our deep learning journey. We’ll describe the progress we’ve made so far, the challenges we’ve overcome, and the lessons we’ve learned along the way. We’re hoping you can learn from our experience, both the successes and the bruises we’ve amassed. Along the way, we’ll discuss the Deep Learning solutions we’ve deployed - including state of the art natural language processing techniques, deep learning based recommender systems, and methods to improve existing systems using representation learning.
Donal McMahon is the Group Manager for Data Platforms at Indeed. He proudly leads a team of over 300 Data Scientists, Data Engineers, Business Intelligence Analysts, Product Managers, Data Governance Analysts, and Software Engineers. He’s been “helping people get jobs” for the past four years. He estimates that if Indeed keeps growing at its current rate, we’ll employ over 50% of the world’s workforce by 2038, just before civilization collapses because of the Year 2038 Problem. Until then, though, Donal is going to use math, science and software to help millions of people make smarter, faster and geekier employment decisions.