Principal Machine Learning Engineer, Presentation – Visual Optimization

Posted 1ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Principal Machine Learning Engineer at Paramount leading visual optimization and presentation strategies for streaming content. Managing artwork personalization, layout design, and real-time experimentation.

Responsibilities:

  • Define the technical roadmap for visual personalization, bridging the gap between ML science and UI/UX design.
  • Architect and deploy multi-armed bandit (MAB) systems to dynamically select the best creative assets for show tiles and hero marquees.
  • Develop models to personalize carousel design types (e.g., square vs. poster), presentation styles, and even the ordering of attributes shown to the user.
  • Utilize NLP and LLMs to experiment with and optimize carousel titles and content descriptions based on user preferences and trending topics.
  • Design "always-on" experimentation pipelines that can shift traffic based on model confidence and reward signals (CTR, Playback Start).
  • Partner with Content Engineering to leverage visual embeddings and computer vision signals to understand why certain artwork performs better than others.

Requirements:

  • 6-8+ years of experience in machine learning engineering or applied science
  • Deep hands-on experience with Multi-Armed Bandits, Contextual Bandits, Thompson Sampling, or Upper Confidence Bound (UCB) algorithms
  • Proven track record of designing high-velocity A/B testing or online learning systems
  • Proficiency in Python, PyTorch/TensorFlow, and big-data processing (Spark/Databricks)
  • Experience leading a technical pod or team, with a focus on translating product/design needs into engineering requirements
  • Experience in Visual Personalization (artwork, thumbnails, or creative optimization)
  • Background in Computer Vision (OCR, aesthetic scoring, or image feature extraction)
  • Knowledge of Reinforcement Learning (RL) for sequential layout optimization
  • Familiarity with LLMs/Generative AI for automated copy generation and title testing.

Benefits:

  • medical
  • dental
  • vision
  • 401(k) plan
  • life insurance coverage
  • disability benefits
  • tuition assistance program
  • PTO
  • bonus eligible