ML Agent Engineer

We're seeking research engineers to build systems for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality agent harnesses, simulation systems, and tooling that enable cutting-edge agent research. You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

Description

We are a team of best-in-the-world research scientists and engineers focused on building best-in-class AI agents. Our work spans the entire AI agent system stack, including model training, harness design, evaluation, and deployment. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:","responsibilities":"Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results.

Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.

Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.

Preferred Qualifications

Masters Degree or PhD in Computer Science, Engineering, Math, or Physics from a strong program.

Familiarity with macOS/iOS development ecosystems.

Active personal interest in AI agents-you're already experimenting on your own time.

Minimum Qualifications

Bachelors in Computer Science/Electrical Engineering or equivalent academic or professional experience.

2+ years of ML engineering experience building and maintaining training and inference systems - including model harnesses, training infrastructure, model serving, or evaluation frameworks.

Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code.

Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing, or ML evaluation pipelines.

Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).

Proven track record shipping ML systems end-to-end - from problem framing and data curation through training, evaluation, deployment, and monitoring in production.

Pay & Benefits

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 $142,300 and $263,300, 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

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.