Software Engineer, Content Engineering

Paramount•West Hollywood, CA

18d

About The Position

The Applied Machine Learning Group is seeking a Software Engineer to build and scale systems that power content understanding, metadata enrichment, and personalization across Paramount's global content catalog. In this role, you will work on the core infrastructure and internal tools that enable high-quality metadata ingestion and curation directly impacting content discovery, recommendations, and user experience across Paramount's streaming portfolio. This is a highly cross-functional role at the intersection of content, data, and machine learning, partnering closely with ML engineers, product teams, and data stakeholders to bring metadata-driven experiences to life.

Requirements

3+ years of professional software engineering experience
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
Strong proficiency in a Python web API and ORM framework (Django/ORM/DRF preferred)
Knowledge of cloud infrastructure including managed databases, object storage, and container orchestration (GCP, AWS, or Azure)
API design with backwards compatibility across multiple consumer teams
Relational data modeling for transactional systems
Experience building data engineering pipelines, including best practices like defensive coding at ingestion boundaries, instrumentation to surface anomalies early, and awareness of data drift so that quality issues are caught before they propagate downstream

Nice To Haves

Django and Django REST Framework for production backend applications
Google Cloud Platform: Cloud SQL, BigQuery, Cloud Storage, Secret Manager, GKE
Google Cloud Pub/Sub subscriber/publisher patterns
Elasticsearch index management, full-text search, mapping updates
Experience building content metadata management systems
Exposure to personalization, recommendation systems, or ML-adjacent platforms
Experience working in event-driven architectures, designing systems around async pipelines
Eager to leverage AI agents in the software development process for understanding code, troubleshooting, developing new features, and fixing issues

Responsibilities

Design, build, and maintain backend services that support content understanding, metadata modeling, and enrichment workflows
Contribute to systems that process and manage metadata for a large-scale, global content catalog
Maintain and expand the API layer and data models across two provider contexts (Paramount+ and PlutoTV) as the codebase converges toward a unified multi-tenant architecture
Uphold engineering quality through test coverage, code reviews, and consistent application of coding standards
Support editorial curation workflows that feed the personalization experience, ensuring curators have the tooling and data quality needed to make effective content decisions