Ads Measurement ML Engineer

New

Skills

Beam Cross-Functional Collaboration Data Privacy Flink Identity Resolution Kafka Machine Learning PyTorch Spark TensorFlow

We are seeking a Staff Machine Learning Engineer to lead our ads identity modeling initiatives. In this role, you will architect and train scalable machine learning models while keeping privacy considerations at the forefront. You will work collaboratively across teams to align on long-term identity goals and drive ML/AI innovations across the organization.

Key Responsibilities
  • Lead the development of ads identity modeling ML solutions and roadmap.
  • Architect and train scalable machine learning models with a focus on privacy.
  • Collaborate cross-functionally to align on long-term identity goals.
  • Champion ML/AI innovation across various teams.
  • Provide mentoring and excellent communication regarding the identity resolution vision.
Required Skills & Qualifications
  • Experience architecting ads measurement models using machine learning.
  • Strong knowledge of identity identifiers for resolution.
  • Proficiency in ML frameworks such as TensorFlow and PyTorch.
  • Solid experience with data processing frameworks: Spark, Kafka, Beam, Flink.
  • Proven cross-functional leadership and stakeholder influence.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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