AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Apple is where individual imaginations gather together, creating innovative products and services that change lives for the better.
$143,100 - $264,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI

Description For AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Apple's ML Compute Team is seeking a Senior Machine Learning Infrastructure Engineer to join their phenomenal team of engineers. This role focuses on building and maintaining compute infrastructure for ML workloads including training, inferencing, and fine-tuning at Apple scale. The position offers an opportunity to solve unique, large-scale, highly complex technical problems to make ML workloads more stable, reliable, efficient, and cost-effective.

As a Senior Engineer, you'll collaborate with teams across Apple, working on critical ML infrastructure that impacts hundreds of millions of users. You'll be responsible for designing and implementing solutions that scale through multiple orders of magnitude, while working with cutting-edge ML technologies and frameworks.

The role combines deep technical expertise in distributed systems and ML infrastructure with the opportunity to shape the future of machine learning at Apple. You'll work with various ML frameworks, cloud technologies, and accelerators while contributing to some of Apple's most visible current and future features.

This position offers competitive compensation including base pay, stock options, and comprehensive benefits. You'll be part of a team that values innovation, collaboration, and technical excellence, working on projects that directly impact Apple's ML capabilities across its product ecosystem.

The ideal candidate will bring strong technical skills in ML infrastructure, distributed systems, and cloud platforms, combined with excellent communication abilities and a passion for solving complex technical challenges. This is an opportunity to make a significant impact at one of the world's most innovative technology companies, working on ML infrastructure that powers next-generation products and services.

Last updated a month ago

Responsibilities For AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

  • Scope, architect, and deliver innovative high-quality solutions
  • Effectively communicate complex features and systems in detail
  • Collaborate with teams across Apple on ML workloads such training, inferencing, fine tuning etc.
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Code using Go, Python
  • Conduct code reviews
  • Help onboard new team members, provide mentorship

Requirements For AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Go
Python
Kubernetes
  • Bachelors in Computer Science, engineering, or a related field
  • 4+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models
  • Proficient in relevant programming languages, like Python or Go
  • Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms
  • Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, Beam, Flink
  • Ability to clearly and concisely communicate technical and architectural problems

Benefits For AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology

Medical Insurance
Dental Insurance
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan with discount
  • Educational expense reimbursement
  • Discretionary bonuses
  • Relocation benefits

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