Inference Specialist, Creative Technology - InterPositive

Netflix
Los Angeles
Workplace: OnsiteFull timeUSD 165,000 - 265,000 annuallyFunction: Administration & Executive AssistanceExperience: 4+ yearsSkills: ["Debugging","Operational calm","Ownership","Collaboration","Clear communication"]

Own the practical execution of generative AI model inference workflows for film and series projects. Run, monitor, and troubleshoot GPU-based inference across local, cloud, and clustered multi-GPU environments, including preparing inputs and debugging failed runs. Turn fast-evolving research code into reliable production pipelines, improve workflow tooling and automation, and support creative stakeholders with quality control and clear technical guidance.

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FursaFursa
Netflix
Netflix
3 months ago

Inference Specialist, Creative Technology - InterPositive

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Own the practical execution of generative AI model inference workflows for film and series projects. Run, monitor, and troubleshoot GPU-based inference across local, cloud, and clustered multi-GPU environments, including preparing inputs and debugging failed runs. Turn fast-evolving research code into reliable production pipelines, improve workflow tooling and automation, and support creative stakeholders with quality control and clear technical guidance.
Location: Los Angeles
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Operate and support custom generative AI inference workflows for film and series projects.
  • •Run, monitor, and troubleshoot GPU-based inference jobs across local, cloud, and cluster environments, including distributed multi-GPU runs.
  • •Prepare and validate inference inputs (video, image, audio, masks, conditioning assets, prompts, metadata, and configs) and tune inference parameters for production-quality results.
  • •Debug failed or degraded runs by inspecting logs, outputs, configs, checkpoints, data shapes, frame ranges/codecs, GPU utilization, and environment issues.
  • •Maintain repeatable inference launch workflows and quality control, translating experimental capabilities into usable production practices.

Pay and Benefits

Salary: USD 165,000 - 265,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •4+ years of experience in machine learning production, VFX technology, post-production engineering, creative technology, technical direction, or a related technical production role.
  • •Hands-on experience running GPU-based model inference for image, video, audio, or multimodal generative AI systems.
  • •Experience 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 (checkpoints, schedulers/samplers, precision, batching, conditioning, GPU memory constraints) and video/image production formats.
Experience:4+ years
Skills:DebuggingOperational calmOwnershipCollaborationClear communication
Tech Stack:PythonLinuxGitPyTorchCUDAFfmpegOpenCVNumPySafetensorsSlurmCloud GPUCluster

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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Glassdoor: 4.1
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