Job Description

Are you a Sr ML Engineer who’s interested in tackling very challenging adversarial problems and passionate about defending online users against abuse, spam, and manipulation? Do you love working on complicated problems that require a multi-disciplinary approach, creative solutions, and rapid product iterations? Will you be proud to work on a real-time, scalable system that serves millions of users daily? If so, you should join us.

WHAT YOU’LL DO:

You will be a key member of the Interactions Modeling team within Health Engineering.

The team supports Machine Learning models and features that are applicable across Health at Twitter such as platform manipulation, account integrity, spam or disinformation. Your work will directly influence how Twitter develops systems and tools to counteract attempted manipulation of critical conversations on the platform. 

AS SUCH, YOU WILL:

• Work on graph dataset and associated data flows using Spark, Scalding, Scala or Python.

• Develop (in conjunction with Research) or use Graph based technologies and algorithms

• Develop new ML prototypes and features useful to health applications 

• Work with ML teams to adopt model prototypes and model features allowing to detect platform manipulations and inauthentic behaviors.

Qualifications

​​​​​​WHO YOU ARE:

• Capable of operation at senior level or above as a ML Engineer.

• You have 3 plus years of industry or graduate level research experience working on Machine Learning in platform manipulation, or related security domains.

• You are passionate about creating Machine Learning models, features and graph data structures.

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.