Hiring: Senior MLE, CreativeFlux, AI Studios Company: Prime Video & Amazon MGM Studios Location: Sunnyvale, CA Job Posted Time: 2026-09-16 16:38:20 Employment Type: Internship Target Skills & Keywords : EKS, Fine-tuning, Kubernetes, Machine Learning, Node.js, SageMaker About the job Experience: •5+ years of non-internship professional software development experience •5+ years of programming with at least one software programming language experience •5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience •5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Required Skills: •Join the AI Studios Engineering org within Prime Video and Amazon MGM Studios as a Machine Learning Engineer on CreativeFlux, the ML platform powering Nara, our AI-native content creation platform for professional animation and live action/VFX. •This role suits engineers who want their work to expand what storytelling can look like, putting new generative capabilities into the hands of the people building Prime Video's animated and live action shows. •Build and operate ML training and serving infrastructure for the CreativeFlux platform. Strong hands-on experience with EKS / Kubernetes is required. •Design, deploy, and operate ML training and inference workloads on EKS, including GPU node groups, custom schedulers, autoscaling, resource quotas, and gang scheduling for multi-GPU jobs •Integrate generative ML models (image, video, audio) into production inference pipelines, partnering with Applied Scientists to take new architectures from research to scaled deployment •Build training and fine-tuning pipelines on EKS and SageMaker, including data preparation, distributed training, evaluation harnesses, and checkpointing strategies •Improve GPU utilization, throughput, and latency on the inference fleet through batching, quantization, model compilation, serving framework tuning, and Kubernetes-native scaling primitives (HPA, KEDA, custom controllers) •Build automated evaluation pipelines and quality metrics that catch model regressions before they reach Artists, including human-in-the-loop review where needed Qualifications: •Bachelor's degree in computer science or equivalent Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!