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AIML - ML Prototyping Engineer, Machine Learning Research

Apple· Machine Learning and AI
Apply on company site
Cupertino, California$150.4k - $277.6kfull-timePosted 2mo ago

About the role

Role in ML Research Prototyping team bridging cutting-edge AI/ML research and real-world Apple products. Build end-to-end prototypes, train/fine-tune models, and create interactive experiences to communicate ML ideas across Apple and to the broader ML community.

Responsibilities

  • Train, fine-tune, and adapt foundation models for novel applications
  • Experiment with emerging ML techniques and architectures
  • Build end-to-end prototypes that demonstrate ML capabilities in context
  • Create interactive experiences that communicate ideas across Apple and to the broader ML community
  • Collaborate with researchers to translate emerging techniques into working systems
  • Iterate rapidly based on critique, treating prototypes as questions rather than answers

Qualifications

  • Experience training or fine-tuning ML models (PyTorch, JAX, or MLX)
  • Strong understanding of ML fundamentals: model architectures, training dynamics, evaluation
  • Familiarity with current ML research landscape
  • Experience reading and implementing techniques from ML papers
  • Proficiency in Python and Swift; experience with C++ or Rust a plus
  • Track record of building complete, working systems rather than isolated components
  • Experience with LLMs: prompting, fine-tuning, RLHF, inference optimization
  • Experience reproducing results from ML papers
  • Familiarity with Apple platforms and frameworks (CoreML, Metal, SwiftUI)
  • Experience building native apps for iOS or macOS
  • Background in an R&D, research, or prototyping environment
  • Ability to work on ambiguous problems where the goal is learning, not shipping
  • Bias toward building—you'd rather make something to test an idea than debate it
  • Initiative to pursue ideas without waiting for direction
  • Eye for detail and craft in how you present work
  • Comfort communicating ML research to diverse technical audiences
  • Experience presenting at or attending ML conferences (NeurIPS, ICML, etc.)
  • Interest in AI education or open-source community building
  • Work you can share: models you have trained, systems you have built, ideas you have explored

Skills

Required:Train models and fine-tune foundation modelsML fundamentalsProgramming languagesLLM techniquesSystem building
Nice to have:Apple platforms familiarity

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Tuition reimbursement for certain educational expenses
  • Discretionary bonuses or commission payments (potential)
  • Relocation assistance (potential)
  • Employee stock programs opportunities
Last updated Oct 9, 2026. Interested? Apply on the company site.

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