Apple-posted 2 months ago
Santa Clara, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

Want to build the machine learning platform that engineers rely on to develop next-generation Apple Intelligence products and services? As a machine learning engineer on our team, you will create platforms and tools to enable performant, scalable ML workload for Apple's AI-driven experiences. Join our team of highly skilled, impact-focused engineers! This role also includes opportunities to open source your work and publish at top ML conferences. We're searching for strong machine learning engineers to help build next-generation platform for training deep learning models at scale. You'll be part of a team of distributed systems and machine learning experts, focusing on reliability, scalability and performance of ML related workloads including model training, inference and data processing.

  • Design and develop components for our centralized, scalable ML platform.
  • Push the limits of existing solutions for large-scale ML workloads.
  • Develop novel techniques to circumvent the limitations of these solutions.
  • Deploy your techniques on high-impact tasks from our partners across the company building new Apple Intelligence products and services.
  • Encourage publishing novel work at top ML conferences and releasing contributions as open source.
  • Polished coding skills.
  • Passion for distributed systems and machine learning.
  • Experience working with public cloud vendors such as AWS, GCP, Azure.
  • Experience developing model parallel and data parallel training solutions and other training optimizations.
  • Familiarity with recent developments in foundation model architectures for language and multimodal.
  • Publication record at ML conferences such as MLSys, NeurIPS, etc.
  • Advance degree in the area of Computer Science or equivalent, or a related field.
  • Respectful work environment.
  • Flexible responsibilities.
  • Access to world-class experts and growth opportunities.
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