Amazon Web Services (AWS)
Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
Amazon Web Services (AWS), Cupertino, California, United States, 95014
Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
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Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
role at
Amazon Web Services (AWS)
Responsibilities
Analyze power consumption and performance metrics across all Amazon data centers for machine learning acceleration workloads.
Develop predictive models and statistical frameworks to identify optimization opportunities and performance bottlenecks.
Create automated monitoring and alerting systems for power and performance anomalies.
Provide data-driven recommendations for server deployments and capacity planning decisions across Amazon’s global data center network.
Develop optimization scenarios and business cases to improve capacity delivery efficiency to customers worldwide.
Support strategic decision-making through comprehensive analysis of power, performance, and cost trade-offs.
Partner with software engineering teams to optimize ML frameworks, drivers, and runtime systems.
Collaborate with hardware engineering teams to influence chip design, server architecture, and cooling system optimization.
Work closely with data center operations teams to implement and validate optimization strategies.
Conduct applied research on emerging ML acceleration technologies and their power/performance characteristics.
Develop novel methodologies for measuring and improving energy efficiency in large-scale ML workloads.
Publish findings and contribute to industry best practices in sustainable ML infrastructure.
Basic Qualifications
5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
4+ years of data scientist experience.
Experience with statistical models such as multinomial logistic regression.
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
Experience managing data pipelines.
Experience as a leader and mentor on a data science team.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Compensation: $143,300‑$247,600/year based on location. Equity, sign‑on payments, and other benefits may be provided as part of a total compensation package. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
role at
Amazon Web Services (AWS)
Responsibilities
Analyze power consumption and performance metrics across all Amazon data centers for machine learning acceleration workloads.
Develop predictive models and statistical frameworks to identify optimization opportunities and performance bottlenecks.
Create automated monitoring and alerting systems for power and performance anomalies.
Provide data-driven recommendations for server deployments and capacity planning decisions across Amazon’s global data center network.
Develop optimization scenarios and business cases to improve capacity delivery efficiency to customers worldwide.
Support strategic decision-making through comprehensive analysis of power, performance, and cost trade-offs.
Partner with software engineering teams to optimize ML frameworks, drivers, and runtime systems.
Collaborate with hardware engineering teams to influence chip design, server architecture, and cooling system optimization.
Work closely with data center operations teams to implement and validate optimization strategies.
Conduct applied research on emerging ML acceleration technologies and their power/performance characteristics.
Develop novel methodologies for measuring and improving energy efficiency in large-scale ML workloads.
Publish findings and contribute to industry best practices in sustainable ML infrastructure.
Basic Qualifications
5+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
4+ years of data scientist experience.
Experience with statistical models such as multinomial logistic regression.
Preferred Qualifications
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
Experience managing data pipelines.
Experience as a leader and mentor on a data science team.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Compensation: $143,300‑$247,600/year based on location. Equity, sign‑on payments, and other benefits may be provided as part of a total compensation package. This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr