Studio Domain ML Engineer

Paramount

Studio Domain ML Engineer developing new applied machine learning technologies within a production platform engineering pod for Paramount. Bridging ML development and real-world studio practices for reliable technology adoption.

Posted 5/15/2026full-timeRemote • New York • 🇺🇸 United StatesSeniorLead💰 $124,000 - $186,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Ensure systems align with real-world production workflows, tools, and operational constraints
Define domain-specific acceptance criteria and quality standards for outputs
Identify workflow mismatches early and guide teams toward solutions that fit existing production environments
Validate prototypes and systems within realistic production scenarios, including edge cases and constraints
Provide actionable feedback on usability, quality, and workflow integration
Contribute directly to the development of new applied ML capabilities through validation scripts, data preparation workflows, evaluation datasets, prototype utilities, model behavior analysis, and integration tooling
Partner with Applied ML Engineers to translate complex domain requirements into testable specifications

Requirements

What you’ll need

8+ years of experience within a film, media, or entertainment production domain
Demonstrated ability to translate real-world workflows and quality expectations into structured requirements
Working proficiency in Python or similar scripting languages
Experience collaborating with technical teams on tools, systems, or pipeline development
Ability to operate in dynamic, iterative environments with evolving requirements

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonscripting languagesdata preparation workflowsvalidation scriptsevaluation datasetsprototype utilitiesmodel behavior analysisintegration tooling

Soft Skills

collaborationproblem-solvingfeedback provisionadaptabilitycommunication