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    Machine Learning Engineer, Ads Measurement - Vancouver, Canada - reddit

    reddit
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    Description
    Reddit is a community of communities. It's built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With ,+ active communities and approximately + million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit .

    "The front page of the internet," Reddit brings over million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. Come for the cats, stay for the empathy.

    The Ads Measurement Core team is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. We specialize in privacy enhancing technologies, identity resolution, and modeled conversions. We are looking for a Senior Machine Learning Engineer to use privacy enhancing technologies to improve our capabilities. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team

    Responsibilities:

  • Design and develop applied machine learning models for modeled conversions and identity matching from ideation to production deployment.
  • Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers.
  • Collaborate with data scientists and backend software engineers
  • Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
  • Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community.
  • Design, implement, and maintain reliable, high-performance distributed systems.
  • Minimum Qualifications:

  • + years of experience with applied machine learning models and large-scale ML systems. Includes experience, training, evaluating, testing, and deploying machine learning models
  • Proficiency with programming languages (Python, SQL) and statistical analysis.
  • Effective communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
  • Preferred Qualifications:

  • Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
  • Prior experience with Modeled Conversions, Ads Privacy, or Ads Measurement is a big plus
  • Prior experience with Sequence Modeling, Reinforcement Learning, and Transformer Architecture is a big plus
  • Benefits:

  • Comprehensive Healthcare Benefits
  • k Matching
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation (please use them) & Reddit Global Wellness Days
  • + months paid Parental Leave
  • Paid Volunteer time off


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