Additional Information
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 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!
Key job responsibilities
Cluster Management
* 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
Model Deployment
* 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
Amazon.com · Seattle, WA