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.
Ensure outputs align with established domain standards, including formats, conventions, and downstream requirements.
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, model behavior expectations, prototype workflows, and production-ready system behaviors.
Work with the ML Behavior Systems Team to ensure systems meet defined evaluation and quality standards.

8+ years of experience within a film, media, or entertainment production domain (e.g., production, post-production, animation, VFX, studio technology, or related functions).
Demonstrated ability to translate real-world workflows and quality expectations into structured requirements.
Working proficiency in Python or similar scripting languages sufficient to contribute to system development and validation.
Experience collaborating with technical teams on tools, systems, or pipeline development.
Ability to operate in dynamic, iterative environments with evolving requirements.

Senior Algorithm Engineer, Studio Domain

Key skills