JobsResearch Engineer, Prime Video - Content Understanding
Research Engineer, Prime Video - Content Understanding
AmazonResearch Engineer, Prime Video - Content Understanding
AmazonLocation
Seattle, WA
Type
Full-time
Posted
6/12/2026
Compensation
$129,200 - $174,800 per year
Undergraduate with 2+ Years of Experience
Approval 98.6%·Filings 19,451·New hires 10,113·
👑 Elite Sponsor
·FY 2025Job description
Prime Video is seeking a Research Engineer to enhance scientific research within the Content Reasoning, Enrichment, and Localization team. This role involves building and deploying Generative AI models across various Prime Video lines of business. The Research Engineer will support Applied Scientists by creating experiment frameworks and managing model training and deployment. This position offers the opportunity to work on innovative projects that shape the future of entertainment.
Requirements
- 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#, or Rust.
- Experience with Linux/Unix.
- Bachelor's degree or 2+ years of experience with Advanced Compute technologies.
- 3+ years of experience with cloud computing technologies.
- Experience in developing and deploying LLMs in production on AI acceleration hardware.
- Experience with distributed systems at scale.
- Master's degree.
- Experience with large scale machine learning systems and understanding of system performance and scalability.
- Publications or contributions to open-source HPC projects.
Responsibilities
- 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.
- 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.
Benefits
- Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.
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