at Apple
Location
Cupertino, United States of America
Compensation
$185k–$325k USD
Type
full time
Posted
1 months ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $325k · above the band
Posting health
Aging · 60Tailor your résumé to this role in 30 seconds.
Free account · ATS keyword check · per-job bullet rewrite by Claude.
In this role, you will translate natural user intents into robust, adaptive behaviors. 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 optimize 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 TensorFlow)
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.
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 is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
More open roles at Apple
Hiring velocity, headcount trend, and every open posting on one page.
Open postings ranked by description similarity — useful if this role isn't quite right.