Pipeline Developer, Creative Technology - InterPositive

Netflix•Los Angeles, CA

27d•$165,000 - $265,000•Remote

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Pipeline Developer, Creative Technology will report to the Senior Manager, Creative Technology and support the team working at the frontier of machine learning in filmmaking, where models and workflows are built in-house and evolve rapidly. This role is responsible for the team's production pipeline as it continues to take shape — bridging Nuke, ShotGrid (Flow Production Tracking), custom color workflows, and the inference paths that connect production work to the team's machine learning systems. It's a high-leverage position on a small, fast-moving team imagining what an AI-native production pipeline can be.

Requirements

6+ years of pipeline development experience in VFX, animation, or adjacent industries, with hands-on work on shipped productions
Expert Python skills, with a track record of building production pipeline tooling that real teams rely on day to day
Deep experience with Nuke pipeline integration — gizmos, callbacks, custom nodes, and Python tooling inside and around Nuke
Hands-on experience integrating with ShotGrid (Flow), including the API, event daemon, webhooks, and custom workflow development
Strong working knowledge of color-managed workflows, ACES, and EXR sequence handling across DCCs and review tools
Experience supporting users on a Linux backbone alongside Windows and Adobe applications
Demonstrated experience working cross-functionally across technical and creative stakeholders

Nice To Haves

Strong systems thinking — able to design pipeline architecture that holds up under fast iteration without becoming brittle
Bias toward rapid prototyping and shipping — comfortable building something rough, putting it in front of users, and refining from there
Fluency with agentic coding workflows (Claude Code, Codex, and similar) and a track record of using them to ship more, faster
Opinionated and self-directed — brings a clear point of view on what a modern pipeline should look like, while staying open to evolving it as the team learns
Excellent written and verbal communication, including the ability to translate between research, engineering, and production audiences
Collaborative and technically curious; finds satisfaction in well-built tools and takes pride in making other people's work easier and faster
Familiarity with environment and package management systems such as Rez
Familiarity with data warehouses and their integration with ShotGrid (Flow) is a plus
Comfort operating in an R&D environment where tools and workflows are still being built out — able to work effectively around rough edges, contribute to making things better, and adapt as the pipeline evolves
Comfort with ambiguity and a fast-moving environment

Responsibilities

Maintain, extend, and evolve the team's production pipeline end to end — Nuke, ShotGrid (Flow PT), color, asset and shot management, and the connective tissue between them
Design and implement the integration layer between production tools and the team's ML inference workflows, partnering closely with the team's Machine Learning Engineers to make model-driven steps feel native to the pipeline
Own the team's color-managed workflow — ACES configuration, EXR sequence handling, and ensuring consistent color across DCCs, review tools, and ML pipelines
Build and maintain Python tooling that spans Nuke, ShotGrid, and adjacent systems, with a Linux backbone supporting users across Linux, Windows, and Adobe applications including Photoshop and After Effects
Prototype rapidly — turn ideas into working tools in days rather than weeks, then iterate with the team based on real use
Manage tool launchers, environment management (e.g., Rez), and DCC integrations so artists and engineers have reliable, reproducible setups
Refine out-of-pipeline submission paths into ShotGrid for ad hoc work, research outputs, and prototype workflows that don't yet live in the main pipeline
Partner with Production, research, and engineering to identify pipeline friction and design solutions that scale across projects
Document tools, conventions, and architectural decisions clearly so the team can adopt, extend, and trust the pipeline as it grows