Applied Scientist II, CloudTune
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Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
The CloudTune team within Amazons Intelligent Cloud Control organization is seeking a passionate and innovative Applied Scientist II to be a core contributor in our mission to automate Amazons scaling and infrastructure spend planning.
Our goal is to invent and implement machine learning and statistical software systems that remove human decision-making from SDOs scaling and cost controllership processes. You will apply state-of-the-art forecasting optimization and control algorithms to drive end-to-end automation provisioning Amazons services appropriately for a great customer experience while optimizing for availability and cost.
This role offers enormous impact eliminating vast quantities of undifferentiated and often tedious work for tens of thousands of Amazon developers across major business lines like Retail Alexa and Prime Video. You will be tackling challenging scalability efficiency and distributed systems design problems using very large volumes of data. You must be able to think big contributing both to the research and the production deployment of high-impact algorithms.
Key job responsibilities
Design implement and evaluate advanced statistical and machine learning models for forecasting anomaly detection and capacity optimization at Amazon scale.
Collaborate closely with engineering teams to integrate models into production systems ensuring scalability efficiency and reliability.
Conduct rigorous experimentation and A/B testing to measure the business impact of new algorithms on cost availability and customer experience.
Investigate prototype and deliver innovative system solutions to increasingly complex distributed systems challenges.
Communicate technical design research findings and product strategy clearly and precisely to technical and non-technical stakeholders including senior leadership.
About the team
CloudTune is part of Amazons Intelligent Cloud Control organization dedicated to inventing software systems that remove human decision-making from SDOs scaling and infrastructure spend planning. Our core mission is to drive end-to-end automation to provision Amazons servicesoptimizing simultaneously for a great customer experience high availability and reduced cost. The solutions we build eliminate vast quantities of undifferentiated and tedious work creating an enormous impact for tens of thousands of Amazon developers across the company. We are a high-leverage team focused on innovative large-scale systems that define the future of Amazons growth and efficiency.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
- PhD
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our goal is to invent and implement machine learning and statistical software systems that remove human decision-making from SDOs scaling and cost controllership processes. You will apply state-of-the-art forecasting optimization and control algorithms to drive end-to-end automation provisioning Amazons services appropriately for a great customer experience while optimizing for availability and cost.
This role offers enormous impact eliminating vast quantities of undifferentiated and often tedious work for tens of thousands of Amazon developers across major business lines like Retail Alexa and Prime Video. You will be tackling challenging scalability efficiency and distributed systems design problems using very large volumes of data. You must be able to think big contributing both to the research and the production deployment of high-impact algorithms.
Key job responsibilities
Design implement and evaluate advanced statistical and machine learning models for forecasting anomaly detection and capacity optimization at Amazon scale.
Collaborate closely with engineering teams to integrate models into production systems ensuring scalability efficiency and reliability.
Conduct rigorous experimentation and A/B testing to measure the business impact of new algorithms on cost availability and customer experience.
Investigate prototype and deliver innovative system solutions to increasingly complex distributed systems challenges.
Communicate technical design research findings and product strategy clearly and precisely to technical and non-technical stakeholders including senior leadership.
About the team
CloudTune is part of Amazons Intelligent Cloud Control organization dedicated to inventing software systems that remove human decision-making from SDOs scaling and infrastructure spend planning. Our core mission is to drive end-to-end automation to provision Amazons servicesoptimizing simultaneously for a great customer experience high availability and reduced cost. The solutions we build eliminate vast quantities of undifferentiated and tedious work creating an enormous impact for tens of thousands of Amazon developers across the company. We are a high-leverage team focused on innovative large-scale systems that define the future of Amazons growth and efficiency.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
- PhD
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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