Machine Learning Engineer, Natural Language Understanding, Proactive

Role Overview

Apple's On-Device Query Understanding team is building the next generation of personalized, intelligent search. You will research and develop novel approaches in query understanding and machine learning modeling, creating the technology that enables seamless search and assistant experiences across Apple products. This is a role for someone passionate about applying machine learning and generative AI to meaningful, large-scale challenges, where your work will directly shape how millions of people interact with Apple products every day.

Responsibilities

The On-Device Query Understanding team builds personalized, state-of-the-art query understanding models that power search intelligence across Spotlight and first-party apps like Mail, Photos, and Reminders. In this role, you will incorporate cutting-edge research in Large Language Models (LLMs), Natural Language Understanding (NLU), and machine learning inference optimization to deliver fast, power-efficient ML solutions to complex query understanding problems. You will bridge research and engineering excellence to drive scalable evaluations and on-device modeling improvements, directly impacting millions of Apple users while advancing how Apple understands what people are looking for, and why.

Requirements & Qualifications

Minimum Qualifications

4 or more years of experience in machine learning, natural language processing, or computer vision, applied at scale

Production software engineering experience with Python, Go, C/C++, Swift, or Objective-C Strong communication and collaboration skills Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Physics, Mathematics, or a related field

Preferred Qualifications

Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, or a related field, or equivalent industry experience

Experience with Small Language Models (SLMs) and on-device LLM training, model compression/quantization, and deployment to production

Experience in large-scale query understanding, search, recommendation, or personal assistant systems

Proficiency with machine learning frameworks such as PyTorch, JAX, TensorFlow, or XGBoost

Background in personalization and data-driven decision making, with the ability to prototype solutions and conduct critical analysis Experience with Swift, Swift frameworks, or Apple platform development is a plus Experience with build infrastructure, release management, and CI/CD pipelines is a plus

Compensation & 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 $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.

Application Instructions

Apply directly on Apple Jobs at Machine Learning Engineer, Natural Language Understanding, Proactive↗.

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