Job Details
            
              Location:
              
                
                  651 Brannan St, San Francisco, CA 94107, USA
                
              
              Posted:
              
                Oct 26, 2019
              
            
           
          
            Job Description
                 Engineering     Software Engineer, Ads Ranking 
  Palo Alto    
 Pinterest brings millions of people the inspiration to create a life they love for everything; whether that be tonight’s dinner, next summer’s vacation, or a dream house down the road. Being the frontrunner in inspiration has led us to be one of the fastest-growing online ad platforms, and our success depends on building conversion and click machine learning models to improve the conversion of Pinners on Pinterest ads. We’re looking for a senior software engineer with experience in ads delivery, conversion optimization, machine learning and pacing to develop new data-driven techniques to boost the delivery of conversion ads. You’ll be joining an early-stage fast-paced team that is growing quickly and laying the foundation for Pinterest’s business success. 
  #LI-LP1 
      What you’ll do :     -  Design features and build large-scale machine learning models to improve ad targeting, relevance, and engagement 
-  Develop new techniques for inferring user interests from online activity 
-  Mine text and visual signals to better understand promoted pin relevance 
-  Design new algorithms for doing conversion optimization at internet scale 
-  Work with product and sales teams to design and implement new ad products 
What we're looking for : -  5+ years of industry software engineering experience 
-  Strong Industry experience in ads, machine learning, information retrieval 
-  Experience in ads ranking is a plus 
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    Website     Profile Link      LinkedIn Profile:       Website:       Pinterest URL  *    If you haven't already, try it out! Understanding the product will help you work through some of our interview questions.       Work Experience: Current/Previous Employer:       Education: Last University Attended:        How did you first hear about this opportunity?:      
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