Software Engineer, Content Engineering – AI Content Orchestration

🕒 May 7

🗽 New York – Remote

🗽 New York – Remote

💵 $110.4k - $165.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✍️ Content Marketing Manager

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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

• Build the backend services that manage the lifecycle of an AI-generated clip, from beginning to final delivery. • Create the interfaces that connect advanced ML workflows with core Video Ops and Encoding pipelines. • Ensure our metadata and payload delivery systems can handle the automated processing of thousands of hours of video daily. • Design and implement backend orchestration solutions, focusing on high-quality API design and service reliability. • Build and manage asynchronous workers, queues, and event-driven architectures that handle video processing tasks and complex workflows. • Develop robust APIs that provide critical metadata and payloads to downstream discovery systems and video infrastructure. • Partner with core video teams to ensure seamless handoffs of video assets and processing signals. • Participate in code reviews and design discussions, applying good technical judgment to improve scalability and observability of our services. • Integrate ML models into production pipelines, focusing on low-latency inference and reliable data delivery.

🎯 Requirements

• 3+ years of experience in backend software engineering or distributed systems. • Solid proficiency in Python (or similar backend languages) and experience building and scaling production APIs. • Experience with asynchronous messaging, task queues, and background workers. • Solid knowledge of SQL, database design, and data modeling for high-volume systems. • Proven ability to own features autonomously from design to deployment delivering clean, maintainable code. • Familiarity with Cloud Architecture (GCP preferred) and containerization (Docker/Kubernetes). • Experience or solid interest in Video/Media Processing (e.g. video encoding, FFmpeg, or metadata standards). • Basic knowledge of how to serve machine learning model outputs via APIs. • Experience working with agentic AI workflows or complex microservice orchestration.

🏖️ Benefits

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