Staff Machine Learning Engineer - Content Foundations

In this role, you’ll be responsible for setting technical direction, shaping our engineering culture, identifying and adopting best practices, designing effective partnerships, mentoring and coaching our technical leads, and more. You will work at all layers of the stack with a focus on backend and partner closely with technical leaders and senior management across all of engineering, data science, research, product, and design. Within Content Foundations, you will be responsible for guiding the organization as we define our tech strategy for the next 3 years, developing infrastructure and abstractions to improve product iteration and ensuring resiliency and scalability. While you will certainly spend plenty of time contributing directly to the codebase, you will also focus on using your creativity, problem solving, and technical skills to empower the engineers around you to do their best work. You will have an impact on enriching conversations on Twitter via building end-to-end product features.

According to JobzMall, the average salary range for a Staff Machine Learning Engineer - Content Foundations in 141 Portland St, Cambridge, MA 02139, USA is between $77,000 and $125,000. This range may vary depending on the experience and qualifications of the applicant.

Twitter is an American microblogging and social networking service on which users post and interact with messages known as "tweets". Registered users can post, like, and retweet tweets, but unregistered users can only read them.