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Would you like a chance to create a significant impact, working alongside world-class experts and using innovative technologies to push the boundaries of what's possible? At Apple, we believe in creating technology that enriches lives and empowers creativity. You'll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.
Description
The team is a dynamic group working at the intersection of product engineering, ML research, and Data Science. We are looking for an engineer with a strong software development background to build the backend systems, APIs, and logic that drive our internal evaluation platform.
In this role, you will move beyond operations and deployment to focus on the architecture and implementation of complex software solutions. You will translate the intricate requirements of LLM evaluation into robust, scalable code. You will leverage your understanding of Machine Learning to design systems that can intelligently interact with models, ensuring that Apple's AI products meet the highest standards of quality.","responsibilities":"Software Architecture & Design: Architect and implement high-performance, scalable software services and libraries for model evaluation.
System Development: Write clean, maintainable, and efficient code (Python, C++, or Go) to power the evaluation engine, focusing on algorithmic efficiency and data structure optimization.
ML Integration: Collaborate with researchers to understand model behaviors and translate complex ML concepts into reliable engineering specifications and software features.
API & Tooling: Design and build internal APIs and developer tools that allow other teams to seamlessly interact with evaluation logic.
Cross-Functional Collaboration: Partner with data scientists and product managers to define technical requirements and turn experimental methodologies into production-grade software features.
Innovation: Continuously seek ways to enhance evaluation frameworks, adopting best practices and integrating the latest advancements in technology.
Preferred Qualifications
ML Implementation: Experience using ML frameworks (Py Torch, Tensor Flow) or integrating LLMs into software applications (using libraries like Hugging Face or Lang Chain).
Experience with vector databases and search technologies.
Background in developing evaluation metrics or testing frameworks for software or data systems.
Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.
Solid understanding of machine learning algorithms, model evaluation metrics, and data processing pipelines.
Knowledge of distributed computing patterns.
Master's or Ph.D. in Computer Science or a related field.
Minimum Qualifications
4+ years of professional experience in software engineering, with a strong focus on backend development and system design.
Proficiency in at least one modern programming language (e.g., Python, C++, Swift, Go, or Java) with a deep understanding of writing efficient, production-ready code.
Solid understanding of computer science fundamentals, including algorithms, data structures, and software design patterns.
Experience designing and building RESTful APIs or gRPC services.
Ability to communicate complex technical concepts effectively to diverse audiences, including non-engineering stakeholders.
Bachelor's degree in Computer Science, Engineering, or a related field.
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 $147,400 and $272,100, 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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총 지원 클릭 수
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모의 지원자 수
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Apple 소개

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+
직원 수
Cupertino
본사 위치
$3.5T
기업 가치
리뷰
3.9
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.8
커리어
3.5
경영진
3.2
72%
친구에게 추천
장점
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
단점
Work-life balance challenges
High stress and pressure
Fast-paced environment
연봉 정보
11,365개 데이터
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0개 리포트
$114,215
총 연봉
기본급
$45,686
주식
$57,108
보너스
$11,422
$79,951
$148,480
면접 경험
3개 면접
난이도
3.3
/ 5
소요 기간
28-42주
합격률
33%
경험
긍정 33%
보통 0%
부정 67%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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