Jobs
Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Remote work flexibility
•Annual team offsites
•Flexible PTO policy
Required Skills
Apache Spark
Python
SQL
About the Role
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
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
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
Equal Opportunity
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.
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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