招聘
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.
Description
As the ML Engineering Manager responsible for Quality of Search Results, Autocomplete and QnA systems, you will lead a Relevance Intelligence team advancing the ranking, personalization, and LLM-driven systems that power Apple's search and discovery experiences. Your team will drive continuous hillclimbing, fine-tuning, and rapid iteration across key quality surfaces while owning the model-training platform that delivers these improvements at scale. You will partner closely with product, data science, EPM, and, AB Test teams to ship fast, relevant, and trustworthy search results that millions of users rely on every day.
","responsibilities":"Lead hillclimbing/quality improvement and fine-tuning across core quality areas: Search & Autocomplete Ranking, Search Personalization, Spam detection, Query Understanding, Retrieval Agents
Own and evolve the model-training system, spanning data pipelines, evaluation, and production workflows.
Partner with XF teams to align goals, unblock training needs, and accelerate quality improvements.
Drive pragmatic, production-ready use of SOTA ML and LLM models.
Build, mentor, and develop a high-impact engineering team.
Provide clear technical direction and operational excellence across multiple quality streams.
Preferred Qualifications
Expertise in ranking, retrieval, LLM fine-tuning, personalization, and search quality.
Experience with hillclimbing, iterative evaluation, and high-throughput training pipelines.
Strong engineering leadership with a focus on clarity, execution, and impact.
Ability to align cross-functional teams and balance long-term vision with rapid iteration.
Minimum Qualifications
5+ years managing engineering or AI/ML teams working in NLP, LLMs, ranking, or search systems.
MS or Ph.D. in Computer Science, Machine Learning, Information Retrieval, or related field.
Strong delivery record across the full AI/ML lifecycle.
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 .
Pay & 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 $188,200 and $325,500, 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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关于Apple

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
员工数
Cupertino
总部位置
$3.5T
企业估值
评价
3.9
10条评价
工作生活平衡
2.5
薪酬
4.2
企业文化
3.8
职业发展
3.5
管理层
3.2
72%
推荐给朋友
优点
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
缺点
Work-life balance challenges
High stress and pressure
Fast-paced environment
薪资范围
11,365个数据点
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0份报告
$114,215
年薪总额
基本工资
$45,686
股票
$57,108
奖金
$11,422
$79,951
$148,480
面试经验
3次面试
难度
3.3
/ 5
时长
28-42周
录用率
33%
体验
正面 33%
中性 0%
负面 67%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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