채용
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Healthcare
•401k
•Equity
•Learning
Required Skills
JavaScript
React
Vue.js
Angular
Java
Spring
Node.js
Express.js
Python
System design
CI/CD
Testing
UI/UX
Come join the Applied Machine Learning (AML) team to do your best work on exciting and groundbreaking projects that will surprise and delight our users. Apple's Applied Machine Learning team is looking for a talented and enthusiastic Full-Stack Software Engineer to join the team building AI and ML models serving and applications deployment platform.
Description:
In this role, you will apply all of your knowledge, experience, talent, and creativity to help us build the next generation of our platform enabling a new wave of AI and ML-powered applications across hundreds of teams and thousands of apps and models. You will work closely with software and ML engineers to make sure they can utilize the platform as efficiently as possible and get all the features they need, back-end services engineers to integrate, infrastructure and DevOps engineers for every customer, and many teams at Apple using the platform to instrument and incorporate ML and AI into the core of their products. Additionally, you will help shape the future and the roadmap of our platform, drive strong engineering excellence and culture, and see the effect of your work on Apple customers.","responsibilities":"You will own, drive, design, and implement the face of our platform and will be responsible for the user experience of our customers making it easy to use, feature reach, and satisfy the ever growing demands in faster-than-ever developing AI/ML space.
Preferred Qualifications:
MS in Computer Science, Math, Physics, Engineering, or a related STEM field
Experience with web accessibility standards is a plus
Minimum Qualifications:
BS in Computer Science, Math, Physics, Engineering, or a related STEM field
Strong CS fundamentals, including data structures, algorithms, system design, object-oriented and functional programming, etc.
Ability to speak a common language with back-end, DevOps, SRE, and SDET engineers Extensive experience designing and implementing large, highly interactive applications from scratch using one of the modern JS frameworks (Vue, React, or Angular) utilizing client-side routing and data store
Hands-on experience building facade/webapp and API data aggregation services using Java, Spring (preferred), Node or Express
Deep knowledge and experience with development lifecycle, CI/CD pipelines, different types of automation testing, logging, monitoring and alerting, and production debugging
Good sense of pixel-perfect design and UX and ability to build new UI that looks good using existing UX guide and UI components library
Strong collaboration skills, system thinking, and ability to clearly explain complex concepts
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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