Research Engineer, Prime Video - Content Understanding

Prime Video is looking for a Research Engineer to support scientific research efforts in our Content Reasoning, Enrichment and Localization team. We build and deploy Generative AI models across Prime Video Lines of Business, including Derivative Content, Trust & Safety, and Metadata Localization. A Research Engineer supports Applied Scientists on the team by building experiment frameworks, infrastructure and deployment packages. The role involves directly facilitating science benchmarking, model training, model deployment, and deep dives on any deep learning related technical problem. The engineer may lead or facilitate a joint project between science and engineering teams. Responsibilities include end‑to‑end ownership of model training and deployment, from managing our GPU cluster to monitoring job queues and containerizing trained models for production. The role supports several research teams across lines of business and machine learning methodologies.

Key job responsibilities
Cluster Management

Architect and operate SLURM cluster infrastructure for distributed training and evaluation workloads

Maintain healthy job status and manage queues from different users and teams

Monitor feedback regarding cluster features and functions

Identify and drive infrastructure optimization opportunities

Develop self‑service tooling, automation, and APIs

Model Deployment

Gather requirements from collaborators on research teams

Containerize Machine Learning models

Shepherd models through deployment into beta environments, including debugging builds

Develop data collection, aggregation and monitoring pipelines

Build observability and monitoring systems or dashboards for ML infrastructure

About The Team
This team's mission is to deeply understand all content and empower customers with relevant language options, innovative accessibility assists, and rich title‑information across all their content experiences on Prime Video. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.

Basic Qualifications

Experience in automating, deploying, and supporting large‑scale infrastructure

Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust

Experience with Linux/Unix

Bachelor's degree, or 2+ years of working with Advanced Compute technologies including: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT

3+ years of cloud computing technologies experience

Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience leading the architecture and design of new and current systems

Preferred Qualifications

Experience with distributed systems at scale

Master's degree

Experience with large‑scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Publications or contributions to open‑source HPC projects

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

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