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Machine Learning Engineer II , AI Studios - New York
Summary by AIEngineer.careers
Machine Learning Engineer II , AI Studios - New York is a Machine Learning Engineer role (full-time). with Amazon.com Services LLC. in NEW YORK, US. Compensation shown: $158K–$214K. Imported listing (source: educativ.net). Apply on the employer's site (educativ.net).
Imported listing (source: educativ.net) · Apply on educativ.net
NEW YORK · US
$158K–$214K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from educativ.net
Join Amazon's AI Studios team as a Machine Learning Engineer to build and operate the training and serving infrastructure for CreativeFlux, the ML platform powering Nara. You will deploy generative models for image, video, and audio into production pipelines, optimizing GPU utilization and inference latency on EKS. This role bridges applied research and engineering, partnering with scientists and artists to scale AI-native content creation tools under tight deadlines.
Responsibilities
- Build and operate ML training and serving infrastructure on EKS/Kubernetes
- Deploy and optimize generative model inference pipelines for image, video, and audio
- Design distributed training and fine-tuning workflows on SageMaker and EKS
- Improve GPU throughput and latency via batching, quantization, and custom schedulers
- Develop automated evaluation pipelines and quality metrics for model regressions
- Integrate models with DCC tools like Adobe Animate, Maya, and After Effects
- Maintain operational health of model endpoints including monitoring and on-call response
Requirements
- 3+ years professional software development experience
- 2+ years experience designing scalable systems and architecture
AS
Amazon.com Services LLC
Seattle · US · 1504+ employees
Amazon.com Services LLC is a major subsidiary of Amazon.com, Inc. that functions as a core operational entity. It manages essential e-commerce services, logistics, fulfillment operations, and infrastructure supporting both retail sales and third-party marketplace sellers.
