Content Metadata Engineer Personalization & Discovery

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#We Are Paramount  on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got thepowerto achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview and Responsibilities

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,

partneringclosely with ML engineers, product teams, and data stakeholders to bring metadata-driven

experiences to life.

The ideal candidate will be:

- Enthusiastic about spanning the full lifecycle of a content data system from ingest and

enrichment through deployment, monitoring, and downstream delivery

- Invested in going beyond moving data to understanding it; developing domain-level

familiarity with the content catalog, and how data quality issues upstream affect systems

downstream

- Committed to continuous improvement; takes ownership of feature implementation,

plans for future maintainability

- Skilled at partnering with Product to translate evolving content strategy into concrete

engineering decisions; asking clarifying questions and iterating toward well-defined

solutions under ambiguity

- Collaborative across engineering teams; working with upstream providers and

downstream consumers to define integration contracts, and ensuring the sequencing of

changes so that features ship cohesively

- Eager to leverage AI agents in the software development process for understanding

code, troubleshooting, developing new features, and fixing issues

Responsibilities Include:

- 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

- Uphold engineering quality through test coverage, code reviews, and consistent

application of coding standards

Internal Tooling & Curation

- Support editorial curation workflows that feed the personalization experience, ensuring

curators have the tooling and data quality needed to make effective content decisions

Basic Qualifications

- 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

- API design with backwards compatibility across multiple consumer teams

- Relational data modeling for transactional systems

coding at ingestion boundaries, instrumentation to surface anomalies early, and

awareness of data drift so that quality issues are caught before they propagate

downstream

Additional Qualifications

- Django and Django REST Framework for production backend applications

- Google Cloud Pub/Sub…