Principal Machine Learning Engineer

🕒 August 7

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $233.6k - $350.4k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Paramount is a global multimedia entertainment and news company that offers a range of services including direct-to-consumer digital subscription video on-demand and live streaming through Paramount+. It also owns Pluto TV, a leading free streaming television service, MTV, the world’s premier youth entertainment brand, and CBS Sports, a leader in television sports broadcasts. Paramount Pictures, since 1912, has been a legendary producer and distributor of films, hosting a library of over 1,000 titles. The company is deeply committed to inclusion and impact, focusing on diversity, global sustainability, and content that affects change. Being a significant player in both live and on-demand streaming services, Paramount embraces a wide array of content from sports to kids’ entertainment, comedy, and groundbreaking documentaries, impacting both linear and streaming platforms globally.

📋 Description

• Lead the Presentation Pod and define the technical roadmap for visual personalization • Bridge machine learning science and UI/UX design requirements • Architect and deploy multi-armed bandit systems for artwork and marquee personalization • Personalize carousel design types, presentation styles, and attribute ordering • Use NLP and LLMs to optimize carousel titles and content descriptions • Design always-on experimentation pipelines that shift traffic based on confidence and reward signals • Partner with Content Engineering to use visual embeddings and computer vision signals • Optimize artwork selection, marquee personalization, carousel design, and title optimization across global streaming platforms • Run concurrent bandit-based experiments to identify effective visual combinations in real time

🎯 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 algorithms • Proven track record designing high-velocity A/B testing or online learning systems • Proficiency in Python • Proficiency in PyTorch or TensorFlow • Experience with big-data processing using Spark or Databricks • Experience leading a technical pod or team • Ability to translate product and design needs into engineering requirements • Experience in visual personalization, such as artwork, thumbnails, or creative optimization • Background in computer vision, including OCR, aesthetic scoring, or image feature extraction • Knowledge of reinforcement learning for sequential layout optimization • Familiarity with LLMs or generative AI for automated copy generation and title testing

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) plan • Life insurance coverage • Disability benefits • Tuition assistance program • PTO • Bonus eligibility • Attractive compensation and comprehensive benefits packages • Generous paid time off • Opportunities for on-site and virtual engagement events • Opportunities to make meaningful connections and build a vibrant community