Robotics AI Engineer
Python
Agentic Ai
Ai Automation
Ai Engineer
Ai Guided Robotics
Ai Workflows
Artificial Intelligence
Automation
Data Platform
Engineering
Generative Ai Platform
Machine Learning Engineer
Mechatronics
Multimodal Ai
On Device Ai
Programming
Programming Language
Programming Languages
Robot Programming
Robotic Automation
Robotics
Robotics Machine Learning
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