Senior Capacity Engineer - Apple Services Engineering

Santa Clara, CA, US • Posted 4 days ago • Updated 1 day ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • High Performance Computing
  • Build Tools
  • Procurement
  • Scripting
  • Modeling
  • Research
  • Finance
  • Data Science
  • Economics
  • Machine Learning (ML)
  • Training
  • Cloud Computing
  • SAN
  • RESTful

Summary

Scaling machine learning workloads across thousands of accelerators creates challenges that few engineers ever encounter. In Apple's Machine Learning Platform Technologies organization, we build the infrastructure that powers large-scale ML training and inference workloads, bringing together expertise in distributed systems, machine learning infrastructure, and high-performance computing.

As a capacity engineer in ML Compute Capacity team, you'll build tools, conduct analysis and implement processes to ensure optimal operation and growth of our infrastructure. This includes working with infrastructure engineers and ML teams to ensure compute resources are used effectively, and shaping strategic procurement decisions.

Ability to translate complex data into easy-to-understand actionable insights and recommendations.\nExperience crafting robust queries over large-scale, multi-source data. \nProficiency in scripting, automation or modeling tools.\nExperience on cross-functional projects spanning ML research, infrastructure and finance. \nBachelor's degree or higher in Engineering, Data Science, Economics or a related quantitative field.

Experience developing ML models to surface insights and drive solutions. \nFamiliarity with accelerator utilization patterns across ML training and inference.\nFamiliarity with cloud compute, storage, network and services.\nComfortable developing with modern web frameworks and RESTful APIs.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: e1d74a1f5d721a5d39a2ceba40022280
  • Posted 4 days ago
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