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 building topical models for our content. These include tweets, spaces, and other forms of user generated content on our platform. We apply and advance state of the art machine learning techniques to invent new models and systems that can be used to help us understand the semantics of these content, and ultimately 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: Work together with a team of Machine Learning Engineers to design, develop, and own critical infrastructure that serves deep learning models. This includes driving the creation of time-critical, scalable systems for new models, as well as enhancing and improving current ones.
You will key to helping the team move fast and stay nimble through your work on reliable and robust experimentation platforms and model serving infrastructure. You can expect to collaborate with product teams to help integrate our systems with the rest of the Twitter tech stack, and be the authority on all aspects of our software systems. As a member of the team, you can also expect to influence the team's roadmap and help us shape our technical strategy to meet key customer requests and wants.
Who you are: You have experience working on machine learning infrastructure, and take delight in scaling up machine learning efforts through your software skills. You are comfortable with building production-grade software systems, and are up-to-date with software engineering best practices. You are keen to continue learning and developing your expertise in machine learning.