Amazon Web Services (AWS)
Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Sr Data Scientist, Annapurna Labs, ML Acceleration Power Architecture
We are seeking a highly skilled Data Scientist to join our Machine Learning Architecture team, focusing on power and performance optimization for ML acceleration workloads across Amazon's global data center infrastructure. This role combines advanced data science techniques with deep technical understanding of ML hardware acceleration to drive efficiency improvements in training and inference workloads at massive scale.
Responsibilities
Data Analysis & Optimization
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
Strategic Planning & Deployment Guidance
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
Cross-Functional Collaboration
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
Research & Development
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 experience with 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 experience with data visualization tools (e.g., AWS QuickSight, Tableau, R Shiny)
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Employment type: Full-time | Seniority level: Mid‑Senior | Job function: Engineering and Information Technology | Industries: IT Services and IT Consulting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Equity, sign‑on payments, and other benefits may also be provided as part of the total compensation package.
Job ID: A3117528
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Responsibilities
Data Analysis & Optimization
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
Strategic Planning & Deployment Guidance
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
Cross-Functional Collaboration
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
Research & Development
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 experience with 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 experience with data visualization tools (e.g., AWS QuickSight, Tableau, R Shiny)
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Employment type: Full-time | Seniority level: Mid‑Senior | Job function: Engineering and Information Technology | Industries: IT Services and IT Consulting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Equity, sign‑on payments, and other benefits may also be provided as part of the total compensation package.
Job ID: A3117528
#J-18808-Ljbffr