Senior Machine Learning Engineer, Presentation
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Job Description
Principal Machine Learning Engineer leading visual personalization at Paramount. Optimizing content display to enhance user engagement through machine learning and visual design strategies.
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
- This position is bonus eligible.
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