Research Engineer, Prime Video - Content Understanding
Amazon - Seattle, Washington, USA
Posted Jun 11, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $129K-$175K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
30% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered Verified - SEC 10-K source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Research Engineer, Prime Video - Content Understanding Seattle, Washington, USA 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. A Research Engineer may be called to directly facilitate science benchmarking, model training, model deployment, and deep dive on any deep learning related technical problem. This person may be called to lead or facilitate a joint project between science and engineering team. This role would be responsible for end-to-end ownership of model training and deployment, from managing our GPU cluster, to monitoring job queues, and containerizing trained for deploying models into production. This role will support several research teams with remits across lines of business and machine learning methodologies. Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy
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