Senior ML Engineer: Generative AI for Film & Animation

Amazon Inc.; New York (NY); Sur place; USD 185 000 - 250 000; Plein temps

Résumé du poste

Amazon.com Services LLC's AI Studios Engineering org in Prime Video and Amazon MGM Studios seeks a Machine Learning Engineer to own training and serving infrastructure for CreativeFlux, enabling production-grade generative models for artists on animation and live-action projects.

You will build scalable ML pipelines on EKS and SageMaker, optimize GPU utilization, and collaborate with Applied Scientists, animators, and storytellers to deploy models from research to production while maintaining

Qualifications

• 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.
• Experience as a mentor, tech lead or leading an engineering team.

Responsabilités

• 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.
• Drive integrations with Digital Content Creation (DCC) tools such as Adobe Animate, After Effects, Maya, and Storyboard Pro at the points where models are surfaced to creators.
• Own operational health of model endpoints on EKS, including monitoring, alerting, on-call response, capacity planning, and post-incident analysis.
• Write clean, well-tested code and participate in design and code reviews.
• Stay current with generative ML, distributed training, inference optimization, and GPU efficiency techniques, and apply them to move team metrics.

Connaissances

Software development

Programming

Leadership

Mentorship

Formation

Bachelor's degree in Computer Science or equivalent

Outils

SageMaker

EKS

Description du poste

Amazon.com Services LLC's AI Studios Engineering org in Prime Video and Amazon MGM Studios seeks a Machine Learning Engineer to own training and serving infrastructure for CreativeFlux, enabling production-grade generative models for artists on animation and live-action projects.

You will build scalable ML pipelines on EKS and SageMaker, optimize GPU utilization, and collaborate with Applied Scientists, animators, and storytellers to deploy models from research to production while maintaining