Principal Machine Learning Engineer

🕒 April 12

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote ☕ Washington – 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 design and development of personalization in the P+ sign-up flow and Pluto TV registration flows. • Own end-to-end machine learning pipelines—from data and feature engineering to training, deployment, serving, and monitoring. • Partner closely with product, design, content, platform engineering, and data science to define roadmaps and deliver measurable user outcomes. • Advance our semantic search and browse experience through state-of-the-art embeddings, query understanding, and domain-specific model architectures. • Establish high-integrity experimentation practices, improve offline→online correlation, and guide feature rollouts with strong scientific rigor. • Mentor engineers and scientists, develop technical talent, and help shape the culture of our growing Applied ML organization.

🎯 Requirements

• 7–10+ years of experience in machine learning engineering, applied science, recommender systems, multi-armed bandits, or large-scale search/ranking systems. • Demonstrated expertise deploying ML systems in high-traffic, real-time production environments. • Deep knowledge of modeling techniques such as representation learning, multi-task learning, multi-modal embeddings, contextual bandits, and session modeling. • Strong fluency in experimentation methodology, A/B testing, causal reasoning, and metric design. • Experience leading and mentoring technical teams; ability to drive strategy while remaining hands-on. • Proficiency with modern ML tooling (PyTorch, TensorFlow), big-data environments (Spark, Beam, BigQuery), and production MLOps workflows.

🏖️ Benefits

• Medical • Dental • Vision • 401(k) plan • Life insurance coverage • Disability benefits • Tuition assistance program • PTO • Bonus eligible