Amazon
3 days ago
System Engineer, AI Research, Prime Video - Content Understanding
US, WA, Seattle
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, Amazon’s 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 Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll 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
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, Amazon’s 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 Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
We’ll 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
