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Backend Engineer, Measurement - Evaluation

Apple

Backend Engineer, Measurement - Evaluation

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1w ago

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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Appleについて

Apple

Apple

Public

Apple 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+

従業員数

Cupertino

本社所在地

$3.5T

企業価値

レビュー

3.9

10件のレビュー

ワークライフバランス

2.5

報酬

4.2

企業文化

3.8

キャリア

3.5

経営陣

3.2

72%

友人に勧める

良い点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

改善点

Work-life balance challenges

High stress and pressure

Fast-paced environment

給与レンジ

11,365件のデータ

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0件のレポート

$114,215

年収総額

基本給

$45,686

ストック

$57,108

ボーナス

$11,422

$79,951

$148,480

面接体験

3件の面接

難易度

3.3

/ 5

期間

28-42週間

内定率

33%

体験

ポジティブ 33%

普通 0%

ネガティブ 67%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience