Engineering
Inference Specialist, Creative Technology - InterPositive
NetflixPosted Jun 16, 2026Netflix is hiring an Inference Specialist on its Creative Technology (InterPositive) team to run and debug custom generative-AI inference workflows for film and series — operating GPU inference jobs, tuning parameters for production-quality results, and building reliable, reproducible pipelines alongside researchers and artists.
Salary
$165,000 – $265,000 / yr
Location
Los Angeles, CA
Work mode
—
Seniority
—
Compared with 43 other Engineering roles: Common across similar roles Unique to this role
What you'll do
Responsibilities
- Operate custom generative AI inference workflows across film and series projects
- Run, monitor, and troubleshoot GPU-based inference jobs across workstations, cloud, and cluster environments
- Prepare and validate inputs for model inference (video, image, audio, masks, conditioning assets)
- Tune inference parameters to achieve production-quality results
- Debug failed runs by inspecting logs, outputs, configs, and model checkpoints
- Maintain clean, repeatable inference launch workflows with scripts and documentation
- Partner with researchers to test new models in production scenarios
- Support rapid iteration with artists and creative stakeholders
- Own quality control for generated outputsUnique
- Bridge communication between creative, production, research, and engineering teams
What you'll need
Experience
- 4+ years in ML production, VFX technology, post-production engineering, or related technical roles
- Hands-on experience running GPU-based model inference for generative AI systemsCommon
- Python-based ML codebases and Linux command-line expertise
- Experience debugging production runs using logs and configuration filesUnique
- Working knowledge of deep learning inference conceptsUnique
- Experience with video/image production formats (ProRes, H.264/H.265, EXR, PNG, MP4/MOV)
- Ability to coordinate across technical and creative stakeholders
- Effectiveness in fast-moving R&D environmentsUnique
- Tools: PyTorch, CUDA, ffmpeg, OpenCV, NumPy, safetensors, Git; Slurm/job scheduler experience preferredUnique