Machine Learning Engineer – Recommendations & Personalization (Feature Engineering)

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$172K-$302K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

103% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Engineer – Recommendations & Personalization (Feature Engineering) Seattle, United States of America Apple Services Engineering embodies Apple's deep commitment to uniting creativity with technology. Our team powers flagship services-including the App Store, Games, Apple Arcade, Apple TV, Apple Music, Apple Podcasts, and Apple Books-delivering world-class entertainment and experiences to users worldwide across a diverse set of global languages. Through relentless pursuit of excellence and innovation at scale, we consistently meet Apple's high standards for quality and performance. Our engineers design and scale the machine learning systems that make Apple's services feel uniquely personal. We are now pioneering the next generation of recommendation architectures - blending traditional ranking models with cutting-edge generative and agent-driven intelligence to create adaptive, context-aware, and delightful user experiences. If you are excited about advancing recommendation technology at massive scale - and about exploring how Large Language Models (LLMs), advanced retrieval, and modular ML systems can reshape personalization - we'd love to meet you. As a Machine Learning Engineer specializing in Recommendations & Personalization, you will be a pivotal contributor at the intersection of robust ML infrastructure, innovative recommendation systems, and emerging generative AI technologies. You will design, optimize, and deploy end-to-end recommendation flows - spanning sophisticated feature engineering, model training, real-time inference, and feedback loops. Simultaneously, you will prototype and build next-generation LLM-powered and agentic recommendation concepts that push the boundaries of what's possible. You will partner closely with applied researchers, infrastructure engineers, and data scientists to bring both production-grade ML systems and exploratory

Read the full description at jobs.apple.com. FewerJobs shows a preview and links to the original posting.