Paramount is on a mission to unleash the power of content, seeking a Senior Machine Learning Engineer to join the PlutoTV pod. The role focuses on personalizing the Linear/FAST experience and involves designing complex scheduling and ranking features to enhance viewer engagement.
Responsibilities:
- Guide Personalization: Architect and implement models that dynamically reorder or highlight channels within the PlutoTV EPG
- Scheduling Optimization: Design models that assist in content scheduling decisions based on user preferences and content affinity
- Multi-Framework Development: Deliver production-ready code in TensorFlow and PyTorch within our GCP infrastructure
- Anticipate System Risks: Proactively identify and mitigate issues related to "live" data streams and real-time scheduling constraints
- Technical Mentorship: Guide junior engineers in the nuances of Linear TV data and FAST-specific success metrics
Requirements:
- 5+ years of experience in MLE
- knowledge with GCP
- proficiency in TensorFlow and PyTorch
- Direct experience with FAST apps or linear TV scheduling
- experience with 'Always-on' streaming data