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Brave // fast, open source, privacy-focused browser
Engineering, Full Time    London or SF preferred    Posted: Thursday, June 06, 2019
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The candidate will create models & systems & analyze data for the privacy-preserving ad delivery system that is built into Brave.

The candidate will work continuously with both researchers & engineers.


  • close familiarity with ad tech
  • familiarity with Thompson sampling, contextual bandits, & related techniques
  • familiarity with privacy-preserving ML techniques
  • familiarity with security & fraud prevention (optional)
  • ability to read & understand scientific papers & to reduce research findings into practice
  • experience with software development via distributed development teams
  • comfortable working in an open source setting
  • excellent written & verbal communication skills in English
  • proven record of getting things done
  • good knowledge of python, or other language for model training, working knowledge of C++/Rust for browser components
  • MS or PhD in Computer Science; we may consider a related quantitative discipline in exceptional cases


We expect the successful candidate to have experience with most widely-used languages, platforms, & libraries & to learn things on the spot whenever necessary. Experience with both building & deployment models using cloud backends such as AWS or Azure is required, however.

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