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Machine Learning Engineer, Data for Foundation Models

Apple· Machine Learning and AI
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full-timePosted 1w ago

About the role

Machine learning research engineer focused on building high-quality datasets for foundation model training, including image/video data, data annotation/enrichment, synthetic data generation, and data pipelines to improve diffusion and autoregressive models. Part of Apple Intelligence within the Intelligent System Experiences team.

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.
  • Construct large-scale and targeted datasets involving image or video to improve the quality of diffusion or auto-regressive foundation models.
  • Stay at the forefront of AI research to rapidly adopt impactful developments while pioneering proprietary and experimental ideas.
  • Work on data ablation experiments to improve modern image generation or image understanding models.

Qualifications

  • M.S. or PhD in Computer Science or related field (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 with large-scale data frameworks such as Hadoop / Ray
  • Experience in academic or industrial research environments
  • Excellent communication skills, bias-for-action, 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 publications at top-tier venues

Skills

Required:Data annotation and labelingFoundation models data preparationMachine learning frameworksResearch and communication
Nice to have:Big data / distributed data processing

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses
  • potential discretionary bonuses or commission payments
  • relocation assistance
  • Apple Employee Stock Purchase Plan and discretionary RSU awards
Last updated Oct 16, 2026. Interested? Apply on the company site.

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