Paramount is seeking a Senior Machine Learning Engineer to join the Shortform pod, focusing on the personalization of short-form experiences. This role is crucial for optimizing "in-view" and "in-carousel" experiences by designing models that effectively convert casual browsers into committed viewers as the "Gist" and clip ecosystem expands. As a Senior role, the engineer will be responsible for defining the technical approach for complex ranking and selection features within a GCP-based environment, utilizing TensorFlow and PyTorch. A heavy emphasis will be placed on Post-training Reinforcement Learning (RL) to optimize for long-term user satisfaction and session-level rewards. This position directly impacts Click-Through Rate (CTR) and discovery velocity by owning algorithms that select engaging 30-second "hooks." By applying Post-training RL, the role ensures short-form content drives meaningful long-term retention, not just short-term engagement, and raises the bar for the Shortform pod by anticipating data risks and building highly reliable, multi-stage ranking pipelines.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees