Hybrid Senior Machine Learning Engineer

Posted 14 hours ago

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About the role

  • Develop, deploy, and maintain scalable machine learning systems that directly impact monetization across FOX’s streaming and broadcast properties.
  • Design and maintain machine learning pipelines for real-time ad decisioning.
  • Work with cross-functional teams to translate business goals into model solutions.
  • Implement experimentation systems (A/B testing, multi-armed bandits) to continuously optimize outcomes.
  • Collaborate on data integration with partners such as LiveRamp and TransUnion.
  • Contribute to the team’s MLOps infrastructure, from model training to deployment and monitoring.
  • Participate in code reviews, system design discussions, and sprint planning.
  • Conduct performance tuning and latency optimization for production ML systems.

Requirements

  • 5+ years of hands-on machine learning or data engineering experience.
  • Proficiency with Python and ML frameworks such as TensorFlow or PyTorch.
  • Experience with real-time inference systems and streaming data architectures.
  • Familiarity with AWS, Spark, Kubernetes, and cloud-native development practices.
  • Background in deploying ML systems in production environments with measurable impact.
  • Solid understanding of ML experimentation, evaluation metrics, and optimization techniques.

Benefits

  • Flexible Time off Policy to manage all personal matters.
  • Twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child.
  • Monthly wellness reimbursement.

Job title

Senior Machine Learning Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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