Principal Machine Learning Engineer, Content Engineering

🕒 April 10

🗽 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 ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers. • Architect Multi-Modal Models: Design and deploy models that synthesize signals across video (pixels), audio (speech/music), and text (transcripts/scripts) to understand content context. • Own Video Intelligence: Develop and scale robust computer vision and audio classifiers for nudity, profanity, and sensitive content detection. • Advance Narrative Understanding: Build models that can identify "hooks," "climax points," and "narrative summaries" to automate the creation of trailers and highlights. • Spoiler & Context Detection: Create intelligence layers that identify plot-critical "spoilers" to ensure ShortForm assets don't ruin the viewing experience for new users. • Scalable Content Pipelines: Partner with Content Engineering to integrate these models into petabyte-scale video processing workflows.

🎯 Requirements

• 6-8+ years of experience in machine learning, with a heavy focus on Computer Vision (CV) and Multi-Modal architectures. • Mastery of PyTorch or TensorFlow, specifically for video-based tasks (e.g., Video Transformers, 3D CNNs). • Proven experience building safety/moderation models (Nudity, Profanity, Hate Speech) or content-tagging systems. • Experience leading senior technical teams and translating complex "creative" goals into engineering requirements. • Knowledge of video processing frameworks (FFmpeg) and handling various codecs/resolutions at scale. • Experience with Generative AI for Video (automated editing or style transfer). • Background in NLP/Speech for sync-ing transcripts with video frames. • Knowledge of Narrative Theory or experience in the media/entertainment industry. • Experience deploying large-scale models in Cloud Environments (AWS/GCP/Azure) with high GPU utilization efficiency.

🏖️ Benefits

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