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Machine Learning Engineer - Multimodal Intelligence

Apple· Hardware
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Hybrid (Sunnyvale, California)$150.4k - $277.6kFull-timePosted 1mo ago

About the role

Machine Learning Engineer to build pipelines, infrastructure, and production systems that convert multimodal foundation models into shipping Apple Intelligence features. End-to-end model delivery, data curation/training pipelines, on-device and hybrid execution, evaluation/regression testing, and robust production systems under latency, memory, power, and privacy constraints.

Responsibilities

  • Own end-to-end model delivery: building and scaling data curation and training pipelines, fine-tuning and optimizing large multimodal models for on-device and hybrid execution
  • Stand up reproducible evaluation and regression testing for text and visual understanding
  • Hardening promising approaches into robust, maintainable production systems under real latency, memory, power, and privacy constraints
  • Collaborate with modeling, platform, hardware, and product engineering teams across Apple to inform implementation decisions
  • Collaborate broadly to deliver high-quality Apple Intelligence features

Qualifications

  • Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g., vision, language, video, audio)
  • Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX
  • Experience with rapid prototyping, reproduction, and validation of research ideas
  • Ability to work in a collaborative environment
  • Ability to communicate the results of analyses clearly
  • BS and a minimum of 3 years of relevant industry experience
  • Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field
  • Deep expertise in multimodal foundation models, with a focus on practical applications
  • Track record of translating research into practical applications either through published work or industry experience
  • Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems
  • Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems
  • Experience bridging research ideas with production constraints

Skills

Required:Deep learningPythonPyTorch or JAX

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments and relocation may be eligible
  • Apple Employee Stock Purchase Plan and discretionary stock programs
Last updated Sep 18, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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