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Job Description

Apple is hiring a Robotics AI Engineer in Cupertino, CA (onsite) to turn natural user intent into adaptive, real-time behaviors.

Responsibilities

  • Apply frontier reasoning models to convert user intent into robust closed-loop plans that clarify, adapt, and replan as context changes
  • Design agent harnesses that ground model reasoning in the user’s context and a structured set of system capabilities
  • Use multimodal models to interpret intent from audio, text, and vision inputs
  • Evaluate models by mapping product requirements to appropriate metrics, then use results to identify failures and drive improvements
  • Fine-tune and distill frontier models into smaller, efficient models for on-device deployment
  • Deploy and optimize models on Apple silicon for real-time, efficient, interactive performance
  • Rapidly prototype and assess new AI models, tools, and agent harnesses to advance product capabilities

Requirements

  • PhD in Computer Science, Machine Learning, or a related field
  • Experience with model fine-tuning and distillation for efficient on-device deployment
  • Hands-on experience with inference engines: llama.cpp, vLLM, MLX, or Core ML
  • Experience building agent harnesses for multi-step, closed-loop reasoning
  • Track record of shipping products to users
  • Proficiency in Python and ML frameworks: PyTorch or TensorFlow
  • BS or MS in Computer Science or Machine Learning
  • Strong foundation in and deep understanding of modern machine learning methods
  • Experience training or fine-tuning your own transformer and/or diffusion models
  • Proficiency using coding agents: Claude Code and Codex
  • Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Preferred qualifications

  • PhD in Computer Science, Machine Learning, or a related field
  • Experience with model fine-tuning and distillation for efficient on-device deployment
  • Hands-on experience with inference engines such as llama.cpp, vLLM, MLX, or Core ML
  • Experience building agent harnesses for multi-step, closed-loop reasoning
  • Track record of shipping products to users
  • Proficiency in Python and ML frameworks (PyTorch or TensorFlow)

Technologies

  • Python
  • PyTorch
  • TensorFlow
  • llama.cpp
  • vLLM
  • MLX
  • Core ML
  • Claude Code
  • Codex
  • Transformer models
  • Diffusion models
  • Apple silicon

Education

  • BS or MS in Computer Science or Machine Learning

Pay & Benefits

  • Base pay range: $184,700 - $324,800 per year
  • Apple base pay is determined within a range based on skills, qualifications, experience, and location
  • Potential for discretionary bonuses or commission, as well as relocation (eligibility may apply)
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary restricted stock unit awards (eligibility may apply)
  • Opportunity to become an Apple shareholder through discretionary employee stock programs
  • Option to purchase Apple stock at a discount via the Employee Stock Purchase Plan (voluntary participation)
  • Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and plan terms

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