Are you interested in helping AWS customers by building ML-distributed systems to deploy Generative AI models for inferencing at scale? SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. Specifically, the SageMaker Inference Platform enables customers to deploy ML models at scale to run high throughput, low-latency CPU/GPU/Inferentia workloads and monitor the quality of the models and data in production. The team is currently focused on solving core infrastructure problems for Generative AI inference serving needs of both internal and external customers. We're moving fast, and this is a great team to join and make a huge impact on AWS especially in the Generative AI space. To learn more about the product, please visit https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-model.html
Key job responsibilities
You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers. You will do everything from determining priorities and designing features to re-architecture as necessary, automated testing and mentoring others. The best candidates show true end-to-end ownership.
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
About the team
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | Seattle, WA, USA
Key job responsibilities
You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers. You will do everything from determining priorities and designing features to re-architecture as necessary, automated testing and mentoring others. The best candidates show true end-to-end ownership.
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
About the team
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | Seattle, WA, USA