Inference Specialist, Creative Technology - InterPositive

Inference Specialist, Creative Technology - InterPositive Netflix 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. $165,000 – $265,000 / yr Location — Seniority — Compared with 41 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 outputs Unique 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 systems Common Python-based ML codebases and Linux command-line expertise Experience debugging production runs using logs and configuration files Unique Working knowledge of deep learning inference concepts Unique 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 environments Unique Tools: PyTorch, CUDA, ffmpeg, OpenCV, NumPy, safetensors, Git; Slurm/job scheduler experience preferred Unique #J-18808-Ljbffr Workman Labs