Sr. Robotics AI Engineer

Cupertino, California, United States Machine Learning and AI

Our team leverages state-of-the-art AI to better understand and communicate with users via semantic and contextual intent understanding. We are looking for a Robotics AI Engineer to bring frontier reasoning and multimodal models to life in real-time, interactive experiences.

In this role, you will translate natural user intents into robust, adaptive behaviours. You will work across the full stack of applied AI/ML: prompting and evaluating frontier models, distilling them into efficient on-device models, and deploying them on Apple silicon. A successful candidate is energized by rapidly experimenting with the latest AI models, tools, and agent harnesses, and has a strong foundation in modern machine learning with hands‑on experience training and fine‑tuning their own models.

Above all, this is a deeply product‑driven team that values engineers who have shipped real products and are motivated by putting great experiences into users' hands.

• Use frontier reasoning models to map user intent into robust, closed‑loop plans that clarify, adapt and replan as the encompassing context changes
• Build agent harnesses that ground model reasoning in the user's context and a structured set of system capabilities
• Leverage multimodal models to understand user intent across audio, text & vision
• Evaluate models by translating product requirements into the right set of metrics, and use them to systematically identify failures and drive improvements
• Fine‑tune and distill frontier models into smaller, efficient models for on‑device use
• Deploy and optimise models on Apple silicon for real‑time, efficient and interactive performance
• Rapidly prototype and assess the latest AI models, tools, and agent harnesses to advance product capabilities

• BS or MS in Computer Science or Machine Learning
• Strong background 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 such as Claude Code and Codex
• Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

• 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 Tensor Flow)

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

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