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Software Engineer, Content Engineering

Paramount Skydance Corporation - New York, NY

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

Software Engineer, Content Engineering New York, NY #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to 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, partnering closely 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 wit

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