Principal Machine Learning Engineer, Presentation & Visual Optimization

Paramount Group Inc

New York, NY, US
Base: $139,000 - 180,000; bonus/equity: bonus elig...
On-site
Multi-armed bandits expertise
Machine learning engineering
Python and pytorch/tensorflow proficiency
The Principal Machine Learning Engineer will lead the Presentation pod to optimize how content is visually displayed to capture user attention and drive engagement across global streaming platforms

Job Summary

  • The Principal Machine Learning Engineer will lead the Presentation pod to optimize how content is visually displayed to capture user attention and drive engagement across global streaming platforms.
  • This role involves architecting multi-armed bandit systems, developing personalized layout and style models, and running rapid experimentation pipelines to dynamically select the best creative assets and presentation styles.
  • Paramount offers attractive compensation, comprehensive benefits, generous paid time off, and a vibrant community with opportunities for both on-site and virtual engagement.

Matching Summary

The Principal Machine Learning Engineer will lead the Presentation pod to optimize how content is visually displayed to capture user attention and drive engagement across global streaming platforms.

Salary

Base: $139,000 - 180,000; Bonus/Equity: Bonus eligible; Benefits: Medical, dental, vision, 401(k), life insurance, disability, tuition assistance, PTO

Skills & Requirements

Must-have

  • Multi-Armed Bandits expertise
  • Machine learning engineering
  • Python and PyTorch/TensorFlow proficiency
  • High-velocity experimentation systems
  • Visual personalization techniques
  • Leadership of technical teams

Nice-to-have

  • Computer vision background
  • Reinforcement learning knowledge
  • NLP and LLMs experience
  • Cross-disciplinary collaboration
  • Streaming content optimization

Key Requirements

  • 6-8+ years machine learning experience
  • Experience leading technical teams
  • Proven bandit algorithm expertise
  • Proficiency in big-data processing
  • Experience with rapid A/B testing systems

Work Rights

Not specified

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