Paramount

Principal Machine Learning Engineer, Content Engineering

Paramount

full-time

Posted on:

Location Type: Remote

Location: New YorkUnited States

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Salary

💰 $234,000 - $260,000 per year

Job Level

About the role

  • Lead the ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers.
  • Architect Multi-Modal Models: Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and text (transcripts/scripts) to understand content context.
  • Own Video Intelligence: Develop and scale robust computer vision and audio classifiers for nudity, profanity, and sensitive content detection.
  • Advance Narrative Understanding: Build models that can identify "hooks," "climax points," and "narrative summaries" to automate the creation of trailers and highlights.
  • Spoiler & Context Detection: Create intelligence layers that identify plot-critical "spoilers" to ensure ShortForm assets don't ruin the viewing experience for new users.
  • Scalable Content Pipelines: Partner with Content Engineering to integrate these models into petabyte-scale video processing workflows.

Requirements

  • 6-8+ years of experience in machine learning, with a heavy focus on Computer Vision (CV) and Multi-Modal architectures.
  • Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D CNNs).
  • Proven experience building safety/moderation models (Nudity, Profanity, Hate Speech) or content-tagging systems.
  • Experience leading senior technical teams and translating complex "creative" goals into engineering requirements.
  • Knowledge of video processing frameworks (FFmpeg) and handling various codecs/resolutions at scale.
  • Experience with Generative AI for Video (automated editing or style transfer).
  • Background in NLP/Speech for sync-ing transcripts with video frames.
  • Knowledge of Narrative Theory or experience in the media/entertainment industry.
  • Experience deploying large-scale models in Cloud Environments (AWS/GCP/Azure) with high GPU utilization efficiency.
Benefits
  • medical
  • dental
  • vision
  • 401(k) plan
  • life insurance coverage
  • disability benefits
  • tuition assistance program
  • PTO
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningcomputer visionmulti-modal architecturesPyTorchTensorFlowvideo processingsafety modelscontent-tagging systemsNLPGenerative AI
Soft Skills
leadershipteam managementcommunicationtranslating complex goalscollaboration