← All roles

Machine Learning Engineer - Multimodal Intelligence

Apple· Hardware
Apply on company site
Hybrid (Seattle, WA), Hybrid (Sunnyvale, CA)$142.3k - $263.3kfull-timePosted 1mo ago

About the role

Machine Learning Engineer to build pipelines, infrastructure, and production systems that turn multimodal foundation models into shipping Apple Intelligence features. End-to-end model delivery with data curation/training pipelines, fine-tuning, evaluation, and robust on-device/hybrid deployment under strict performance and privacy constraints, collaborating with modeling, platform, hardware, and product teams.

Responsibilities

  • Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g., vision, language, video, audio, etc.)
  • 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 in a clear and effective manner
  • 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

Qualifications

  • 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:PythonPyTorch or JAX

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • education reimbursement (tuition)
  • potential discretionary bonuses or commission payments
  • relocation assistance
  • Apple shareholder opportunities through 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.

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.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11

More open roles at Apple