Amazon Web Services (AWS) · 6 hours ago
Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture
Amazon Web Services (AWS) is seeking a highly skilled Data Scientist to join their Machine Learning Architecture team, focusing on power and performance optimization for ML acceleration workloads. The role involves analyzing power consumption, developing predictive models, and collaborating with engineering teams to enhance ML frameworks and infrastructure.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Qualification
Required
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
4+ years of data scientist experience
Experience with statistical models e.g. multinomial logistic regression
Preferred
2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
Experience managing data pipelines
Experience as a leader and mentor on a data science team
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Recent News
2025-12-31
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