Senior Machine Learning Engineer, Short-form

Paramount•New York, NY

10d

About The Position

We are looking for a Senior Machine Learning Engineer to join the Shortform pod. Your mission is the Personalization of Short-form experiences, specifically optimizing the "in-view" and "in-carousel" experiences. As we expand our "Gist" and clip ecosystem, you will lead the design of models that determine which short-form asset will most effectively convert a casual browser into a committed viewer. This is a Senior role, meaning you are trusted to define the technical approach for complex ranking and selection features. You will work within a GCP-based environment, utilizing TensorFlow and PyTorch, with a heavy focus on Post-training RL (Reinforcement Learning) to optimize for long-term user satisfaction and session-level rewards.

Requirements

5+ years of experience in MLE
proficient background in Reinforcement Learning
proficiency in GCP, TensorFlow, and PyTorch

Nice To Haves

Experience in video-first social or streaming apps
background in multi-modal signal processing

Responsibilities

Lead Feature Design: Own the end-to-end design of ranking models for in-view short-form content.
Apply RL in Production: Implement Post-training RL techniques to align model outputs with complex user satisfaction metrics.
Optimize for Scale: Build and maintain high-throughput pipelines in GCP using TensorFlow/PyTorch.
Mentorship: Provide technical guidance to IC1-IC2 engineers on the pod, ensuring high standards for code and experimentation.
Mitigate Risk: Identify and tackle systemic biases in how short-form content is surfaced to avoid "filter bubbles."