System Engineer, AI Research, Prime Video - Content Understanding
System Engineer, AI Research, Prime Video - Content Understanding
Posted on :
27-06-2025
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1 Vacancy
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Job Description
Amazon Prime Video:
Amazon MGM Studios is the home for talent creating and producing Original films and television series for a global audience. Original series premiere exclusively on Prime Video which is available in more than 240 countries and territories worldwide. Amazon MGM Studios also produces and acquires Original movies for theatrical release and exclusively for Prime Video in addition to producing Original content for Freevee Amazons premium free streaming service.
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 even more content for free with ads.
Are you interested in shaping the future of entertainment Prime Videos technology teams are creating best-in-class digital video experience.
As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Well look for you to bring your diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists you can decide where a career Prime Video Tech takes you!
Job Description:
This Software Development Engineer Research Engineering role supports scientific research efforts in our Content Reasoning Enrichment and Localization team (CoREL) team. We build and deploy Generative AI models across Prime Video Lines of Business including Ads Trust & Safety and Metadata.
A Research Engineer supports Applied Scientists in the team by building experiment frameworks infrastructure and deployment packages. A Research Engineer may be called to directly facilitate science bench marking 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 deployment into production. This role will support several research teams with remits across lines of business and machine learning methodologies.
Key job responsibilities
Cluster Management
* Ownership of a SLURM cluster for model training
* Maintain healthy job status and manage queues from different users and teams
* Monitor feedback from Science teams regarding cluster features and functions
* Fix tools pipelines and dashboards as needed
Model Deployment
* Gather requirements from collaborators on research teams in computer vision audio processing and language modeling
* Containerize Machine Learning Models using Docker
* Shepherd models through deployment into beta environments including debugging builds
* Develop data collection aggregation and monitoring pipelines using S3 DynamoDB or similar technologies
* Model performance dashboarding
- 3 years with Machine Learning Deployment Technologies e.g. PyTorch
- 3 years with low level GPU frameworks e.g. CUDA
- 3 years with templatizing frameworks (e.g. Terraform CloudFormation)
- 3 years with building data pipelines
- 3 years with High-Speed Networking (e.g. infiniband) and High-Throughput Storage (e.g. FsX)
- 3 years with Cloud Computing Technologies (e.g. AWS Azure)
- Bachelors Degree and/or 3 years of experience in Application Development
- Masters Degree
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116300/year in our lowest geographic market up to $201200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon MGM Studios is the home for talent creating and producing Original films and television series for a global audience. Original series premiere exclusively on Prime Video which is available in more than 240 countries and territories worldwide. Amazon MGM Studios also produces and acquires Original movies for theatrical release and exclusively for Prime Video in addition to producing Original content for Freevee Amazons premium free streaming service.
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 even more content for free with ads.
Are you interested in shaping the future of entertainment Prime Videos technology teams are creating best-in-class digital video experience.
As a Prime Video technologist youll have end-to-end ownership of the product user experience design and technology required to deliver state-of-the-art experiences for our customers. Youll get to work on projects that are fast-paced challenging and varied. Youll also be able to experiment with new possibilities take risks and collaborate with remarkable people.
Well look for you to bring your diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists you can decide where a career Prime Video Tech takes you!
Job Description:
This Software Development Engineer Research Engineering role supports scientific research efforts in our Content Reasoning Enrichment and Localization team (CoREL) team. We build and deploy Generative AI models across Prime Video Lines of Business including Ads Trust & Safety and Metadata.
A Research Engineer supports Applied Scientists in the team by building experiment frameworks infrastructure and deployment packages. A Research Engineer may be called to directly facilitate science bench marking 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 deployment into production. This role will support several research teams with remits across lines of business and machine learning methodologies.
Key job responsibilities
Cluster Management
* Ownership of a SLURM cluster for model training
* Maintain healthy job status and manage queues from different users and teams
* Monitor feedback from Science teams regarding cluster features and functions
* Fix tools pipelines and dashboards as needed
Model Deployment
* Gather requirements from collaborators on research teams in computer vision audio processing and language modeling
* Containerize Machine Learning Models using Docker
* Shepherd models through deployment into beta environments including debugging builds
* Develop data collection aggregation and monitoring pipelines using S3 DynamoDB or similar technologies
* Model performance dashboarding
- 3 years with Machine Learning Deployment Technologies e.g. PyTorch
- 3 years with low level GPU frameworks e.g. CUDA
- 3 years with templatizing frameworks (e.g. Terraform CloudFormation)
- 3 years with building data pipelines
- 3 years with High-Speed Networking (e.g. infiniband) and High-Throughput Storage (e.g. FsX)
- 3 years with Cloud Computing Technologies (e.g. AWS Azure)
- Bachelors Degree and/or 3 years of experience in Application Development
- Masters Degree
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116300/year in our lowest geographic market up to $201200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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