Sr Data Scientist , Annapurna Labs, ML Acceleration Power Architecture

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.

• 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

• 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

• 2+ years of experience with data visualization tools (e.g., AWS Quick Sight, 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 : A3117528