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Research Engineer, Prime Video - Content Understanding

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Systems Engineer, AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Research Engineer, Prime Video – Content Understanding

Prime Video is seeking a Research Engineer to support scientific research efforts in the Content Reasoning, Enrichment and Localization team. The role supports Applied Scientists by building experiment frameworks, infrastructure, and deployment packages and may directly facilitate benchmarking, model training, deployment, and deep‑learning technical problem solving.

Key Responsibilities
  • Own end‑to‑end model training and deployment, managing the GPU cluster, monitoring job queues, and containerizing models for production.
  • Cluster Management – Architect and operate SLURM cluster infrastructure for distributed training and evaluation workloads, maintain job status, monitor queues, optimize infrastructure, and develop self‑service tooling, automation, and APIs.
  • Model Deployment – Gather requirements, containerize ML models, shepherd models through beta deployments, develop data collection, aggregation, and monitoring pipelines, and build observability dashboards for ML infrastructure.
Qualifications
  • Experience automating, deploying, and supporting large‑scale infrastructure.
  • Proficiency in at least one modern programming language (Python, Ruby, Golang, Java, C++, C#, Rust).
  • Experience with Linux/Unix.
  • 3+ years of cloud computing technology experience.
  • Experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware, or leading architecture and design of such systems.
  • Experience with distributed systems at scale.
  • Proficiency with large‑scale machine learning systems, profiling, debugging, and understanding system performance and scalability.
  • Master's degree (preferred). Bachelor’s degree accepted with equivalent experience.
  • Publications or contributions to open‑source HPC projects.
Preferred Qualifications
  • Experience with distributed systems at scale.
  • Master’s degree.
  • Experience with large‑scale machine learning systems and system performance and scalability.
  • Publications or contributions to open‑source HPC projects.
Benefits and Compensation

The base salary range for this position is $ – $ USD annually. Salary and benefits details include signing bonuses, restricted stock units (RSUs), health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional supplemental life plans, EAP, mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

Equal Opportunity Statement

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, contact the recruiting partner for your region.

Location

Seattle, Washington, USA

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