Sr Data Scientist, Annapurna Labs, ML Acceleration Power Architecture

Description

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.

Key job responsibilities

ata 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 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 Qualifications

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300 / year in our lowest geographic market up to $247,600 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.