Senior ML Engineer, Generative Media & Animation

Amazon Inc.; Culver City (CA); On-site; USD 168,000 - 227,000; Full time

Job summary

Amazon.com Services LLC is seeking a Machine Learning Engineer to own training and serving infrastructure for generative models used by Prime Video's animated and live-action productions. You will deploy ML workloads on EKS, build end-to-end pipelines with SageMaker, and integrate with tools like Adobe Animate and Maya to surface models to artists.

You'll collaborate with engineers, scientists, and creators to scale new architectures into production, improve GPU utilization, and maintain model

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.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• 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

Skills

Non-internship software development

Programming experience

Design/architecture leadership

Mentor / tech lead

Education

Bachelor's degree in computer science or equivalent

Tools

EKS

SageMaker

Kubernetes

Job description

Amazon.com Services LLC is seeking a Machine Learning Engineer to own training and serving infrastructure for generative models used by Prime Video's animated and live-action productions. You will deploy ML workloads on EKS, build end-to-end pipelines with SageMaker, and integrate with tools like Adobe Animate and Maya to surface models to artists.

You'll collaborate with engineers, scientists, and creators to scale new architectures into production, improve GPU utilization, and maintain model