Amazon System Engineer AI Research Prime Video - Content Understanding 

United States, Washington, Seattle 

183356691

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.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.Job Description: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

- Master’s Degree