- AWS Kumo is a global product and technical organization dedicated to helping AWS customers succeed in their cloud journey. Kumo owns critical cloud services used by all AWS customers to build, optimize, and operate at scale.
- 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia.
- Helps in growth and development of our teams
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Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit -
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Lab Automation Support Scientist - Seattle, WA, United States - Amazon
Description
Job ID:
| Amazon Web Services, Inc.
AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for the Cloud Optimization service portfolio (AWS Health, Well-Architected, Trusted Advisor).
You will partner with go-to-market, support, and service leaders to identify, define, and shape the investment direction of our products with a vision, strategy, and develops innovative solutions for hard, previously unsolved problems.
This role will give you the opportunity to drive the design and delivery of large-scale cross-AWS projects while moving the needle disproportionately for the Support business.
In this role, you'll define and drive architectural innovation of existing and new services to help AWS customers optimally architect, develop, and operate for the cloud.
You'll think beyond the immediate team and project needs and focus on how to reduce operational complexity. Influence at all levels – from business strategy to implementation.Define the next generation of Cloud Optimization architecture, working closely with business owners, service teams, Principal Engineers, and Solution Architects to leverage proven design patterns and existing services to reduce existing complexity, duplication, and cost.
Post ( Recommendations & Insights, Self-service Automation, Support Center ( and more, as well as all the internal tooling used by our global support organization to provide exceptional customer support.
We are globally distributed, with larger teams across the United States, Canada, South Africa, Costa Rica, Australia, and other geographies.
By joining Kumo, you will work with all AWS customers, from big and diverse enterprises to small cutting-edge startups, helping them achieve success in their cloud journeys.
Our industry-leading product portfolio cuts across a wide range of technologies — from Distributed Systems to Machine Learning — at Amazon scale.
We are a fast-growing, agile and collaborative team of individuals with diverse backgrounds from all parts of the globe.We combine the culture of a startup, the innovation and creativity of an R&D lab, the work-life balance of a mature organization, and AWS-scale technical challenges.
Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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