Machine Learning Engineer, Proactive - Large Language Models, Generative AI & Agentic Systems

Apple Inc.
Cupertino, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 181K

Job location

Cupertino, United States of America

Tech stack

Artificial Intelligence
Computer Programming
Machine Learning
Performance Tuning
Large Language Models
Multi-Agent Systems
Deep Learning
Generative AI
Information Technology
Machine Learning Operations
Virtual Agents

Job description

The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver high-quality inferences at scale!, We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple.

Requirements

Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

Strong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems.

Demonstrated ability to read, interpret, and apply cutting-edge research to real-world engineering problems.

Experience with model training, fine-tuning, or building scalable ML systems.

Strong programming and problem-solving skills.

Preferred Qualifications

Familiarity with agentic AI, structured tool-use models, or multi-turn reasoning systems. (Not required-experience is a plus, and interest in the domain is highly valued.)

Hands-on experience with end-to-end LLM development: dataset curation, fine-tuning, evaluation, prompt optimization, or model hosting.

Published research demonstrating contributions to LLMs, Generative AI, or related subfields.

Ability to guide technical direction, mentor others, and collaborate effectively in a fast-paced environment.

Benefits & conditions

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 $181,100 and $318,400, 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.

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