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You will be updated with latest job alerts via email$ 127000 - 297000
1 Vacancy
Who we are:
Here at X our mission is to revolutionize how people connect share ideas and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.
The Applied Safety team ensures that users abide by Xs Terms of Service by detecting and remediating violative content at scale. Using machine learning and other signals we identify threats and build automated systems to remediate misconduct with proportionate and transparent responses. We aim to eliminate illegal and inauthentic behavior on X and protect users from harassment or unwanted sensitive content.
We are a fastmoving team that operates more like a startup than a large tech company. This role is a good fit for someone who values impact and is willing to unblock themselves to get the work done.
We value:
Writing code rather than documents
Shipping products rather than talking about roadmaps
Big features rather than changing button colors
What youll do:
Work across the stack or dive deep into ML to deliver stepwise improvements to our abuse spam financial fraud child safety and/or tooling systems
Architect and deliver new systems with a high degree of autonomy
Produce scalable systems capable of handling thousands of events per second
Apply creative problem solving crossfunctionally across the entire safety ecosystem whether its through engineering product or operations
Code using primarily Scala; MapReduce frameworks such as Scalding; and scripting languages such as Python
Potential for technical leadership in payments risk/financial fraud child safety or abuse
Qualifications
3 years working in software engineering or machine learning engineering roles
Proven experience building and operating software services at scale
Experience and familiarity with the modern data pipeline and ML infrastructure ecosystem
Enjoy working in a 0to1 space with no known machine learning engineering or product solutions and trailblazing to build novel solutions that work
Preferred qualifications:
Prior experience in Trust and Safety
Fluent in one or more of Java Scala Python or SQL
Familiarity with machine learning
Full-Time