Principal Machine Learning Engineer – Personalization

🕒 April 23

🗽 New York – Remote

🗽 New York – Remote

💵 $234k - $260k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Paramount

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1912

📱 Media

👥 B2C

Media • B2C • Entertainment

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 Ad Pod: Drive the technical roadmap for all Pluto-specific ML use cases, acting as the bridge between AMLG's core infrastructure and Pluto’s product goals • Architect retrieval and ranking systems to recommend the right linear channels to users in real-time • Develop models that optimize channel scheduling and inform the creation of "Pop-up" or algorithmic channels based on viewer trends • Design loss functions and reward systems that weigh user commitment (watch time) against business health (ad impressions and revenue) • Lead the vision for personalizing the Electronic Programming Guide, ensuring the most relevant content is surfaced immediately upon app launch • Partner with RevOps and Product to translate business constraints (e.g., ad delivery guarantees) into technical ML requirements

🎯 Requirements

• 6-8+ years of experience in machine learning engineering, with a significant focus on Ad-Tech, Auction Dynamics, or Recommender Systems • Deep mastery of Multi-Objective Optimization and constrained optimization (balancing competing KPIs like revenue vs. UX) • Proven experience building and deploying ML models in high-throughput, ultra-low latency environments (under 50ms) • Skilled in Python, PyTorch/TensorFlow, and BigQuery; experience with high-scale serving layers • Demonstrated ability to own a major technical domain and drive strategy across multiple organizations

🏖️ Benefits

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