Senior Applied ML Engineer (Topics)

Senior Applied ML Engineer (Topics)

This job has closed but is shown for context on data science work at Twitter.

Who We Are:

The Topic Signals team is part of Cortex, the central machine learning organization at Twitter. Cortex’s mission is to empower internal teams to efficiently leverage machine learning by providing platform, modeling, and research expertise while advancing the ML technologies within Twitter.

We tackle Twitter-specific challenges in the Topical Understanding domain such as the real-time, ever-changing nature of our data and limited context. We apply and advance state of the art machine learning techniques to invent new models and systems that can be used to improve various Twitter experiences for our customers.

We operate at scale whilst ensuring fair and ethical use of our models and data.

What you will do:

Apply your ML expertise to propose and develop models and solutions that improve our ML-driven products. Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data. Help us develop novel solutions, and unlock new directions in both the methods we use and the application of our team's work.

Qualifications:

Who you are:

You have experience building ML models any applying them to solve real-world problems in the industry. You are passionate about state-of-the-art technologies and are excited by the application of theory to real-world problems. You keep up to date with the latest developments in the field and look for ways to apply them to your current work/role. You find pragmatic solutions that solve problems in a timely manner.

This job has closed but is shown for context on data science work at Twitter.
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