Staff Machine Learning Engineer, Connect

The Position

Twitter Connect is a group of distributed teams who partner together to ensure the content our users view and interact with on Twitter is relevant, eventful and can be easily discovered. This involves real-time data processing at scale and building out different machine learning systems around content understanding, spam and abuse detection, clustering of related stories, classification of content by topics, and recommendation systems to personalize results. 

We are looking for Staff Machine Learning Engineers to join us on either of the following Connect teams:

  • Trends and Events Discovery (TED) -  Detects and surfaces what’s happening by finding the most interesting content around Events, Trends, Moments, and Live Videos.

  • Search - The Search Engine for Twitter that helps users find the most relevant, engaging and healthy content on Twitter for queries, hashtags, Trends, serving Tweets timelines as well as discovering accounts, events, and more.

  • Explore - Provides Twitter users with opportunities to diversify & discover new interests.

  • Interests Experience - Recommends Topics and Topical content to our users so they no longer have to hand-curate their Twitter experience by way of following accounts in their topics of interest. 

Qualifications

  • 8+ years or equivalent of experience working and leading the Machine Learning efforts in Internet-scale consumer products, preferably in Search Engine, Recommendation System, NLP, or other Information Retrieval related fields.

  • For the Search team, familiarity with Search Engine components such as document processing, indexing, query processing, retrieval, ranking and presentation, and the ML-centered solutions to some of them.

  • Experience technically leading one or more teams on multiple ML related projects, managing development life cycles over multiple quarters.  

  • Ability to collaborate across multiple teams including analytics, product management, and operations.

  • Passion for machine learning and improving the ways people consume the world, live.

Company Description

Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.

Additional Information

A few other things we value:

  • Challenge - We solve some of the industry’s hardest problems. Come to be challenged, learn, and thrive as an engineer.
  • Diversity - Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.
  • Work, Life, Balance - We work hard, but we believe with hard work should come balance.
  • Collaboration - There’s that saying, “If you want to go fast, go alone. If you want to go far, go together.” We want to go far.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

Team

Machine Learning

Location

Remote US, New York City, San Francisco, Toronto, Atlanta

 

Application

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