Sr. Engineering Manager (Machine Learning) - Content Quality


March 30, 2021

Atlanta, GA 30308, US

Company Description

Twitter is what’s happening in the world and what people are talking about right now. From breaking news and entertainment to sports, politics, and everyday interests, see every side of the story. Join the open conversation, and collaborate with creative and curious people across the globe. “The whole world is watching Twitter. You don't go a day without hearing about Twitter, how it’s used as the fastest way to send a message to the world in an instant, how it carries some of the most important commentary and conversations, how it mobilizes people into action. That's powerful, it's valuable, it's fundamental.” - Jack Dorsey, CEO

Job Description

Who we are:

Twitter is looking for an engineering leader to oversee quality for the Content org. The Content org builds rich experiences that create new forms of content and improve the mechanics and comprehension of conversations on Twitter, be it Tweets, DMs, Fleets, LIVE, Spaces, etc. Our team’s mission is to show users the content they care about. We build relevance and machine learning models and systems to power these surface areas.

What you’ll do:

You will join the Content Quality team and lead a world-class team of Machine Learning and backend engineers. We’re looking for a hands-on, technical manager with a real passion for working on user-facing products. The ideal candidate would be equally comfortable guiding the development of models to rank Tweets/Fleets/DMs/Spaces, etc and predict engagement, whiteboarding new product ideas with designers and product managers, or brainstorming ways to efficiently index and serve tweets with systems engineers.


Who you are:

  • You have a background in machine learning, ideally prediction/binary classification, logistic regression, decision trees, deep learning techniques

  • You have familiarity with A/B experiments and metrics

  • You have enthusiasm for experiment and metrics-driven iterative product development

  • You can hold your own technically with engineers on the team and give constructive feedback on projects and ideas

  • You have a sense of urgency, move quickly and ship things

  • You can partner with other leads from engineering, product and design to craft a roadmap and measures of success

  • You can be a bold source of engineering talent and will be comfortable closing candidates


  • BA/BS or higher in Computer Science (or equivalent work experience)

  • Previously tech-led or managed a team of 5 or more engineers building ML models and systems in a production setting

Additional Information
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.