Specialist, Creative Technology - InterPositive

Netflix
Los Angeles
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 4+ yearsSkills: ["Operational calm","Debugging","Reproducibility","Written communication","Collaboration"]

Operate and support generative AI model inference workflows for film and series projects, translating creative needs into reproducible runs. Run, monitor, and troubleshoot GPU-based inference jobs across local, cloud, and cluster environments (including distributed multi-GPU). Prepare multimodal inputs, tune inference parameters, debug degraded runs, and maintain clean launch workflows while improving tooling and documentation to support rapid creative iteration.

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FursaFursa
Netflix
Netflix
4 months ago

Specialist, Creative Technology - InterPositive

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Operate and support generative AI model inference workflows for film and series projects, translating creative needs into reproducible runs. Run, monitor, and troubleshoot GPU-based inference jobs across local, cloud, and cluster environments (including distributed multi-GPU). Prepare multimodal inputs, tune inference parameters, debug degraded runs, and maintain clean launch workflows while improving tooling and documentation to support rapid creative iteration.
Location: Los Angeles
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Own practical execution of model inference workflows, turning creative needs into reproducible runs.
  • •Operate and support GPU-based generative AI inference jobs across local, cloud, and cluster environments, including distributed multi-GPU runs.
  • •Prepare and validate multimodal inference inputs (video, images, audio, masks, conditioning assets, prompts, metadata, configuration files).
  • •Debug failed or degraded runs by inspecting logs, outputs, configs, checkpoints, data shapes, masks, frame ranges, codecs, GPU utilization, and environment issues.
  • •Maintain repeatable inference launch workflows (scripts, config templates, run manifests, output naming conventions, and result tracking) and drive improvements through tooling and documentation.

Key Requirements

  • •4+ years of relevant experience in machine learning production, VFX technology, post-production engineering, creative technology, or a closely related technical production role.
  • •Hands-on experience running GPU-based model inference for image, video, audio, or multimodal generative AI systems.
  • •Experience working with Python-based ML codebases and command-line workflows in Linux environments.
  • •Experience debugging production runs using logs, stack traces, configuration files, model inputs, and generated outputs.
  • •Working knowledge of deep learning inference concepts, including checkpoints, schedulers or samplers, seeds, precision, batching, conditioning, and GPU memory constraints.
Experience:4+ yearsMachine learningVFXPost-productionGenerative AI
Skills:Operational calmDebuggingReproducibilityWritten communicationCollaboration
Tech Stack:PythonLinuxGitPyTorchCUDAFfmpegOpenCVNumPySafetensorsSlurmGPUMulti-GPUDistributed launch toolsEXRPNGProResH.264H.265MP4MOV

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
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