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AIML - Backend Engineer, Evaluation

Apple

AIML - Backend Engineer, Evaluation

Apple

Seattle, WA

·

On-site

·

Full-time

·

3d 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

As a Backend Engineer in AIML Evaluation, you will design and integrate scalable architectures and build core APIs, frameworks, and libraries that enable Modeling and Evaluation teams to efficiently assess AI/ML-powered features. You will lead requirements definition-including proof-of-concept development-and co-own the roadmap for ML evaluation platforms, ensuring seamless system integration and continuous improvement. Your work will strengthen automation, improve model performance assessment, and streamline workflows across AI/ML teams.

The ideal candidate has a strong track record of owning full product lifecycles, from initial design and implementation to feedback-driven iteration on tools that support AI/ML development. You will build, measure, and optimize software solutions that deliver insights into platform changes, driving innovation and elevating Apple's AI-driven user experiences.

This role requires strategic thinking, deep technical expertise, and the ability to excel in a fast-paced, rapidly evolving environment while partnering closely with engineering, research, and product teams to deliver high-impact solutions.","responsibilities":"Design and implement systems to assess the quality and safety of Apple Intelligence features, ensuring our AI/ML models meet the highest standards.

Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability.

Work closely with feature owners, data scientists, frontend engineers, product managers, and other stakeholders to gather requirements, and deliver impactful evaluation solutions.

Create robust data pipelines and analytics tools to generate actionable insights from vast datasets, driving informed decision-making.

Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease.

Continuously seek ways to enhance evaluation frameworks, adopting best practices and integrating the latest advancements in technology.

Preferred Qualifications

Solid understanding of AI feature, model evaluation metrics, and data processing pipelines.

Previous experience in a high-growth tech company or similar environment.

Familiarity with open-source projects related to AI/ML or backend development.

Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.

Master or Ph.D. in a related field.

Minimum Qualifications

2+ years in backend engineering with experience in large-scale software system design and implementation.

Proficiency in languages such as Python, Go Lang, or Java.

Experience with distributed systems, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, GCP).

Record of building high-quality, highly scalable backend software systems.

Ability to tackle complex challenges, think critically, and deliver innovative solutions.

Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.

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 $139,500 and $258,100, 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