Back to Jobs
XX
Software Engineer, Content EngineeringParamount PicturesNew York, New York, United States
XX

Software Engineer, Content Engineering

Paramount Pictures
  • US
    New York, New York, United States
  • US
    New York, New York, United States

About

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, partnering closely with ML engineers, product teams, and data stakeholders to bring metadata‑driven experiences to life.
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 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.
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 and instrumentation to surface anomalies early.
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 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.
What We Offer Hiring Salary Range: $110,000.00 – $150,000.00. Compensation is commensurate with experience and location.
Attractive compensation and comprehensive benefits packages.
Generous paid time off.
An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
Opportunities for both on‑site and virtual engagement events.
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
Equal Employment Opportunity Paramount is an equal opportunity employer (EOE) including disability/vet. Paramount is committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation to use or access https://www.paramount.com/careers. Please contact 212.846.5500 or email paramountaccommodations@paramount.com.
#J-18808-Ljbffr
  • New York, New York, United States

Languages

  • English
Notice for Users

This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.