Principal Machine Learning Engineer, Content Engineering

Paramount Group Inc

Base: $234,000.00 - $260,000.00; bonus/equity: bon...
On-site
6-8+ years machine learning experience
Computer vision and multi-modal architectures
Pytorch or tensorflow mastery
Paramount Group Inc is seeking a Principal Machine Learning Engineer to lead the ShortForm & Video Intelligence pod, focusing on transforming long-form content into engaging short-form assets. The ideal candidate will have extensive experience in machine learning, particularly in computer vision and multi-modal architectures, along with strong leadership skills

Job Summary

  • This role leads the ShortForm & Video Intelligence pod to automate the transformation of long-form content into engaging short-form assets.
  • The position requires designing multi-modal models that synthesize video, audio, and text signals to identify narrative hooks and emotional climaxes.
  • Candidates will own critical video intelligence filters for safety, spoiler detection, and context-aware content optimization across the Paramount ecosystem.

Matching Summary

Match Score: 85

Paramount Group Inc is seeking a Principal Machine Learning Engineer to lead the ShortForm & Video Intelligence pod, focusing on transforming long-form content into engaging short-form assets. The ideal candidate will have extensive experience in machine learning, particularly in computer vision and multi-modal architectures, along with strong leadership skills.

Salary

Base: $234,000.00 - $260,000.00; Bonus/Equity: Bonus eligible; Benefits: Medical, dental, vision, 401(k), life insurance, disability, tuition assistance, PTO

Skills & Requirements

Must-have

  • 6-8+ years machine learning experience
  • Computer Vision and Multi-Modal architectures
  • PyTorch or TensorFlow mastery
  • Video safety and moderation model development
  • FFmpeg and video processing frameworks
  • Leadership of senior technical teams

Nice-to-have

  • Generative AI for video editing
  • NLP and speech synchronization experience
  • Background in narrative theory
  • Media and entertainment industry background
  • High GPU utilization efficiency in cloud

Key Requirements

  • 6-8+ years of ML experience
  • Deep Learning expertise with PyTorch/TensorFlow
  • Proven track record in Computer Vision
  • Experience leading high-performing engineering pods

Work Rights

Not specified

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