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Machine Learning Engineer - Ads, Quora (Remote)

Posted 2024-09-09

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💎 Seniority level: Middle, 3+ years

📍 Location: Multiple countries around the world, Pacific Time, NOT STATED

💸 Salary: 120800 - 232750 USD per year

🔍 Industry: Technology / Advertising

🏢 Company: Quora👥 501-1000💰 $85.0m Series D on 2017-04-21🫂 on 2020-01-24InternetQ&AInformation ServicesProduct DesignCopywritingSocial Media

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSoftware DevelopmentMachine LearningC++AlgorithmsGolangC (Programming language)

Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's coordination hours (Mon-Fri: 9am-3pm Pacific Time).
  • 3+ years of professional software development experience in machine learning.
  • Previous experience working in Adtech, developing ad targeting/retrieval/recommender systems.
  • Previous experience building large scale ranking/recommendation systems.
  • Good understanding of mathematical foundations of machine learning algorithms.
  • Highly proficient coding ability writing Python, C++ or Golang code.
  • BS, MS or PhD in Computer Science, Engineering or a related technical field.
Responsibilities:
  • Improve our existing machine learning systems using your core coding skills and ML knowledge.
  • Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
  • Apply state-of-the-art machine learning algorithms at scale and serving for next-generation targeting and bidding products that directly impact the company’s top line metrics.
  • Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment.
  • Work with product and business teams on new innovative features for ad targeting and bidding to optimize advertisement performance.
  • Identify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers.
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