Principal Machine Learning Engineer, Presentation & Visual Optimization

Principal Machine Learning Engineer, Presentation and Visual Optimization We are seeking a Principal Machine Learning Engineer to lead our Presentation pod. The pod owns the “visual gateway,” optimizing how content is displayed to capture user attention and communicate value instantly – from artwork selection to marquee personalization, carousel design, and title optimization across our global streaming platforms. Role Overview This role sits at the intersection of Machine Learning, Product Design, and Visual Psychology. The pod leverages Multi‑Armed Bandits (MAB) and computer vision to identify the best image, headline, or layout for each user and context, ensuring the most compelling presentation of recommended content. Responsibilities Lead the Presentation Pod : Define the technical roadmap for visual personalization, bridging ML science and UI/UX design. Artwork & Marquee Personalization : Architect and deploy MAB systems to dynamically select the best creative assets. Layout & Style Optimization : Develop models to personalize carousel design, presentation styles, and attribute ordering. Title & Copy Optimization : Use NLP and LLMs to experiment and optimize carousel titles and descriptions. Fast Experimentation Frameworks : Design “always‑on” pipelines that shift traffic based on model confidence and reward signals (CTR, Playback Start). Visual Understanding : Partner with Content Engineering to leverage visual embeddings and computer vision signals to explain artwork performance. Basic Qualifications 6–8+ years of experience in machine learning engineering or applied science. Expertise with Multi‑Armed Bandits, Contextual Bandits, Thompson Sampling, or UCB algorithms. Track record designing high‑velocity A/B testing or online learning systems. Proficiency in Python, PyTorch/TensorFlow and big‑data processing (Spark/Databricks). Leadership experience of a technical pod or team translating product/design needs into engineering requirements. Additional Qualifications Experience in Visual Personalization (artwork, thumbnails, or creative optimization). Background in Computer Vision (OCR, aesthetic scoring, or image feature extraction). Knowledge of Reinforcement Learning for sequential layout optimization. Familiarity with LLMs/Generative AI for automated copy generation and title testing. What We Offer Attractive compensation and comprehensive benefits packages. Generous paid time off. Opportunity to join one of Paramount’s most dynamic teams. Opportunities for both on‑site and virtual engagement events. Unique opportunities to build a vibrant community, inside and outside the workplace. Explore life at Paramount: Hiring salary range: $234,000.00 - $250,000.00. Paramount is an equal‑opportunity employer (EOE), including disability/veteran, and is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation. Contact View phone number on click.appcast.io or email View email address on click.appcast.io for accommodations.

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