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Machine Learning Engineer, Data for Foundation Models

Apple· Machine Learning and AI
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Cupertino, CA, Seattle, WAFull-timePosted 1w ago

About the role

Machine learning research engineer focused on building high-quality datasets for foundation model training, including data annotation, enrichment, curation, and synthetic data generation pipelines to improve diffusion and auto-regressive models for Apple products.

Responsibilities

  • Design data annotation, enrichment, curation and synthetic data generation pipelines using classic or genAI tools to improve model quality along specific dimensions aligned with Apple’s product offerings.
  • Improve modern image generation or image understanding models through data ablation experiments.
  • Contribute to data-centric approaches for foundation model training across web-scale datasets, distributed training, and on-device optimizations.

Qualifications

  • M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience
  • 3+ years of experience improving modern image generation or image understanding models through data ablation experiments
  • Knowledge of ML frameworks such as PyTorch / JAX
  • Experience leveraging large-scale data frameworks such as Hadoop / Ray
  • Experience working in an academic or industrial research environment
  • Excellent communication skills, bias-for-action and ability to drive clarity in ambiguous circumstances
  • Hands-on experience improving the quality of diffusion image generation models through training data improvements
  • Track record of strong industrial research output, shipped complex projects or published at top-tier venues

Skills

Required:Data annotationSynthetic data generationDiffusion model data improvementImage understanding / image generationML frameworks
Nice to have:Large-scale data frameworks

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission payments (potential)
  • Relocation assistance (potential)
  • Employee stock program opportunities
Last updated Oct 16, 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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