Machine Learning Engineer

Skydance is hiring a Machine Learning Engineer for the PlutoTV pod. The role develops and deploys models for channel ranking, guide personalization, and content scheduling to improve discovery and viewer session length in the FAST experience.

Responsibilities:

• Feature Development: Design and deploy ML components for channel ranking and guide personalization
• FAST Metadata Integration: Work with linear scheduling data to create features that account for "Current" vs "Next" program relevance
• Vector-Based Similarity: Use Qdrantto group similar channels and content to improve the "More Like This" experience within the guide
• Model Refinement: Train and iterate on models using TensorFlow/PyTorch, focusing on session-start and watch-time metrics
• Independent Execution: Own the delivery of defined tasks within the PlutoTV roadmap, from data exploration to production deployment

Requirements:

• 3+ years in MLE; proficiency in Python/SQL; experience with TensorFlow/PyTorch and GCP
• Knowledge with FAST or Broadcast TV data structures
• experience with Qdrant or similar vector databases