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Machine Learning Engineer, Ads Measurement

Reddit

Role brief

The Ads Measurement Modeling 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 Machine Learning Engineer to use privacy enhancing technologies to improve our capabilities. As a diverse group of software engineers, product managers, 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 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:

  • 2+ 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 Health Benefits
  • Retirement Savings plan with matching contributions
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation & Reddit Global Days Off

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