Twitter is looking for great engineers to build large scale systems for quickly identifying abusive content. You should be excited about thwarting the ever-evolving tactics of attackers and helping to make Twitter a great experience for our users. You’ll be working on a small team of talented engineers doing big things in the world of abuse detection and response.
Responsibilities
Develop and maintain large scale systems primarily using Java
Use data mining and classification, machine learning and natural language processing to detect abusive trends and anomalies with low false positive rates
Use intelligent reputation systems and rate limiting to understand user behavior and prevent abuse
Qualifications
BS, MS, or PhD in Computer Science or equivalent work experience
Experience building large-scale server applications
Experience with distributed systems, threading models, and server architectures
Experience with data mining, classification, machine learning and information retrieval algorithms
Experience with content analysis, pattern recognition, applied statistics
Experience with database technologies
Knowledge of Mysql and Java
Pluses
Hadoop, pig or other comparable MapReduce experience
You have a security mindset and enjoy working in an environment with an active adversary
You have a deep and abiding appreciation for memes
You can provide a link to your public github repo or technology blog
You have a side project, or several
You use and love Twitter
You are awesome, passionate, and nice
The team: Trust & Safety Engineering
We're a small, tight-knit group working on the frontiers of online spam and policy, and diligently defending the safety and privacy of our users. We cook up anti-spam science, write tools for trust agents, implement policies on the product, and write services for abuse investigation and response. We fend off attacks by performing real-time searches over data sets in the billions, and we take decisive action with extreme prudence. Also, we sometimes go the zoo.
Follow
www.twitter.com/JoinTheFlock
for more recruiting info
Twitter - 16 months ago
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