ML Agent Engineer

Apple, Inc.; United States; Presencial; USD 150.000 - 278.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical and dental coverage

Stock programs

Tuition reimbursement

Relocation assistance

Descripción de la vacante

Apple, Inc. is seeking research engineers in the San Francisco Bay Area to build systems for breakthrough AI agents, reinforcement learning, and simulation environments.

You will design and implement agent harnesses, simulation systems, and tooling that empower cutting-edge agent research within a world-class ML team. The role emphasizes developing end-to-end ML systems, from data handling and model training to evaluation, deployment, and monitoring, with collaboration across Apple’s ML

Formación

• 2+ years of ML engineering experience building and maintaining training and inference systems, including model harnesses and evaluation pipelines.
• Fluency in Python; deliver clean, well-tested code.
• Experience with distributed ML systems and CI/CD at scale.
• Proficiency with ML modeling frameworks (PyTorch, TensorFlow, etc.).
• Proven track record shipping ML systems end-to-end from data curation to deployment and monitoring.

Responsabilidades

• Build and maintain agent harnesses, training and inference systems for AI research.
• Design and implement simulation environments and tooling to enable breakthrough agent research.
• Collaborate with world-class ML researchers and engineers to advance systems for AI agents and reinforcement learning.

Conocimientos

ML engineering

Python

Distributed ML systems

ML modeling frameworks

End-to-end ML deployment

Educación

Bachelor's in CS/EE

MS or PhD in CS/Engineering/Math/Physics

Herramientas

PyTorch

TensorFlow

Descripción del empleo

San Francisco Bay Area, California, United States Machine Learning and AI

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.

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.

Preferred Qualifications

• MS 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.

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 $150,400 and $277,600, 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.

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.