Speaker: Malay Haldar

Machine Learning Engineer @Airbnb

Malay is a machine learning engineer working on search ranking at Airbnb. Prior to Airbnb, Malay worked on applying machine learning to Google Play search with the goal of understanding the functionality of each app. Before machine learning, Malay worked on web-scale infrastructure at Google and Amazon S3.

Find Malay Haldar at

2019 Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks