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Reddit // online content platform
 
Engineering, Full Time    San Francisco, New York City, Remote    Posted: Thursday, June 03, 2021
 
   
 
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JOB DETAILS
 

The front page of the internet," Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, & create across thousands of communities.

Reddit is the 4th largest website on the internet, generating billions of events & terabytes of data every day. The Ads Optimization & Modeling team uses those events to generate machine learning systems that supercharge the performance of our ads platform.

We are a team of engineers & data scientists dedicated to using machine learning to improve Reddits ads experience. The majority of Reddits revenue passes through our systems, & every improvement to our predictions translates into big wins for our business. Youll own full-stack ML projects from ideation to production to turn data into products that millions of people love.

Youll use your ads machine learning experience to set long-term ML strategy, charting a path through model architecture, feature generation, & evaluation & experimentation. Youll own all modeling aspects of our mission critical clickthrough rate & conversion rate models. Youll help develop an ML roadmap, as well as guide other engineers through executing it.

Responsibilities:

  • Adapt the ads industrys machine learning best practices to Reddits unique platform & user base.
  • Lead analysis & implementation of features & signals.
  • Write production code to ship your model to millions of users.
  • Participate in the full software development cycle: design, develop, QA, deploy, experiment, & analyze.
  • Collaborate across disciplines to find technical solutions to complex challenges.

Requirements:

  • 5+ years as a Machine Learning Scientist or Machine Learning Engineer, 2+ of which were spent in an Ads Machine Learning context
  • Up to speed on industry best practices in ads machine learning.
  • Strong communication & collaboration skills
  • Software Engineering practices & the ability to write performant production-quality code
  • Comfortable with distributed learning, big data & large-scale systems
  • Masters or PhD in Statistics, Machine Learning, Mathematics, Computer Science, or related field
 
 
 
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