Amazon
Company
Sr. Software Development Engineer, Machine Learning, AWS Kubernetes (K8s)
US, WA, Seattle
Job Description
This job posting has expired and no longer accepting applications.
We are seeking an experienced software engineer with background in building and operating an infrastructure platform responsible for training, fine-tuning and inference of AI models.
Key job responsibilities
You will be working with customers spanning from industry leading AI labs to Fortune 500 enterprise companies that are leveraging EKS to train and deploying models at scale.
You will work with Amazon's AI teams to operationalize purpose built model to improve the EKS experience for new and existing users.
A day in the life
This is a cross functional role where you will work across a team of Kubernetes experts, Product managers and applied scientists to build machine learning capabilities for external and internal use.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Key job responsibilities
You will be working with customers spanning from industry leading AI labs to Fortune 500 enterprise companies that are leveraging EKS to train and deploying models at scale.
You will work with Amazon's AI teams to operationalize purpose built model to improve the EKS experience for new and existing users.
A day in the life
This is a cross functional role where you will work across a team of Kubernetes experts, Product managers and applied scientists to build machine learning capabilities for external and internal use.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!
Amazon
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