Netflix

2 months ago

Inference Specialist, Creative Technology - InterPositive

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 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

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

2 months ago

Inference Specialist, Creative Technology - InterPositive

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

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

Glassdoor: 4.1

Website LinkedIn Glassdoor