Senior ML Infrastructure Engineer

A leading technology company that designs, develops, and sells consumer electronics, software, and services.
$175,800 - $312,200
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Consumer

Description For Senior ML Infrastructure Engineer

The Intelligence Platform team at Apple is seeking a Senior ML Infrastructure Engineer to join their innovative team focused on building platforms for generative AI, graph machine learning, and private learning. This role is crucial in developing the central nervous system of Apple's operating systems, processing and managing vital information that impacts hundreds of millions of users worldwide. As a senior engineer, you'll work on cutting-edge technologies, collaborating with teams across Apple to design and implement machine learning platforms and APIs. The position offers competitive compensation ($175,800-$312,200), comprehensive benefits, and the opportunity to work with state-of-the-art technologies. You'll be responsible for bringing industry-leading research to life through Apple's products, working in a collaborative environment with hardworking engineers. The role requires expertise in machine learning platforms, LLMs, and system design, offering the chance to shape next-generation features at one of the world's leading tech companies. This is an excellent opportunity for someone passionate about ML infrastructure who wants to make a significant impact on how people interact with technology daily.

Last updated 9 minutes ago

Responsibilities For Senior ML Infrastructure Engineer

  • Collaborating with teams across Apple on training, qualifying, deploying, and serving models
  • Designing and refining systems and APIs for Machine Learning and Generative AI
  • Understanding and adapting new model architectures to constraints of their execution environments
  • Working with leadership across Apple to define policy
  • Building platform for teams across Apple to bring intelligence to their applications and services

Requirements For Senior ML Infrastructure Engineer

Python
  • Excellent software design, problem solving and debugging skills
  • Background architecting and building data or machine learning platforms
  • Experience building on LLMs or other generative models
  • Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications
  • Deep understanding of multi-threaded programming and synchronization

Benefits For Senior ML Infrastructure Engineer

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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