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Principal Machine Learning Engineer, Ads Personalization

Paramount Streaming · New York, NY, US · $234k - $260k

Actively hiring Posted 27 days ago
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Responsibilities

  • Lead the Ad Pod: Drive the technical roadmap for all Pluto-specific ML use cases, acting as the bridge between AMLG's core infrastructure and Pluto’s product goals.
  • Personalized Channel Discovery: Architect retrieval and ranking systems to recommend the right linear channels to users in real-time.
  • Dynamic Scheduling & Creation: Develop models that optimize channel scheduling and inform the creation of "Pop-up" or algorithmic channels based on viewer trends.
  • Multi-Objective Optimization: Design loss functions and reward systems that weigh user commitment (watch time) against business health (ad impressions and revenue).
  • EPG Personalization: Lead the vision for personalizing the Electronic Programming Guide, ensuring the most relevant content is surfaced immediately upon app launch.
  • Cross-Functional Leadership: Partner with RevOps and Product to translate business constraints (e.g., ad delivery guarantees) into technical ML requirements.

Basic qualifications

  • 6-8+ years of experience in machine learning engineering, with a significant focus on Ad-Tech, Auction Dynamics, or Recommender Systems.
  • Optimization Expertise*:* Deep mastery of Multi-Objective Optimization and constrained optimization (balancing competing KPIs like revenue vs. UX).
  • Real-Time Systems*:* Proven experience building and deploying ML models in high-throughput, ultra-low latency environments (under 50ms).
  • Technical Stack*:* Skilled in Python, PyTorch/TensorFlow, and BigQuery; experience with high-scale serving layers.
  • Leadership (IC5/IC6): Demonstrated ability to own a major technical domain and drive strategy across multiple organizations.
  • Experience building or scaling in-house ad systems or DSP/SSP components.
  • Knowledge of Reinforcement Learning (RL) for sequential ad-podding and frequency capping.
  • Knowledge of Causal Inference to measure the incremental boost ad-personalization on long-term subscriber churn.
  • Experience in both FAST (Linear) and VOD advertising ecosystems.

Benefits

  • Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  • Generous paid time off.
  • An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  • Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

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