Job Description

Apple is seeking a Senior Machine Learning Engineer to develop intelligent and personalized search applications. The role involves researching and implementing advanced retrieval and ranking techniques, machine learning algorithms, and large language models to enhance search experiences across Apple products.

Requirements

3+ years Experience in Machine Learning, NLP, Large Language Models and applying these techniques at scale
Strong software engineering skills in mainstream programming languages, such as Python, Go, C/C++
Strong communication skills
Bachelors in Computer Science and industry work experience

Responsibilities

Lead the design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval and ranking systems
Use advanced and state-of-the-art NLP, deep learning and LLM techniques to understand and match complex queries with relevant content
Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics
Collaborate with cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction
Work continuously on improving the metrics and performance of models the team has launched in production by leveraging innovative ML techniques

Benefits

Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.