採用
Compensation
$147,400 - $272,100
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Healthcare
•401k
•Equity
•Learning
Required Skills
Machine Learning
Large Language Models
Natural Language Processing
Python
Swift
C
C++
The Software Localization team powers the tooling, features and processes used to create an exceptional localized experience for Apple's international customers. We are responsible for the localization workflows in Xcode, framework-level localization support, localized OS features, and internal localization tools used to create high quality translations across all of Apple's software products.
We are looking for a creative, motivated, and passionate engineer who will work cross-functionally and globally to deliver the next generation of ML tooling and end-user features for international locales.
This person will be a creative, motivated, passionate technical leader who has a robust understanding of large language models (LLMs), Natural Language Processing (NLP) and Apple software frameworks.
Description:
As a software engineer on the Localization Frameworks team, you will join a phenomenal team of passionate engineers to design, implement and qualify localization features, processes and tooling across a wide variety of Apple's products. We are looking for an exceptional candidate to help architect the future of localizing models and machine translation. Your role is to ensure Apple and third-party developers using Xcode can deliver world-class software products to millions of users around the world. Your duties include:
Leading the exploration and application of Large Language Models (LLMs) for performing translation tasks and Apple product features
Translating the latest research into high-quality systems and models that can be practically applied to further improve machine translation or Apple product features
Actively engaging in all aspects of model development, from ideation, training, experimentation to deployment.
Collaborating with translation, localization quality, project management and engineering teams to develop and implement solutions
Developing and maintaining features, frameworks and tools to help facilitate the software translation process
Preferred Qualifications:
Experience in software localization / internationalization
Familiarity with localization standards and technologies (Unicode, XLIFF, ICU, etc.)
Native-level foreign language skills in reading, writing and speaking
Knowledge of Computational Linguistics:
Published research in the field of Machine Learning or AI
Experience using Xcode to build software for Apple's platforms
Proficiency with Apple's development APIs (SwiftUI, Foundation, etc.)
Experience or curiosity in languages and culture
Comfortable working cross-functionally and cross-culturally
Ability to work in a fast-paced environment with frequent context switching and changing priorities
Minimum Qualifications:
BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
Experience with Machine Learning (ML), with a particular emphasis on Large Language Models (LLMs) and Natural Language Processing (NLP)
Proven ability to comprehend, interpret, and apply cutting-edge research into consumer-oriented products
Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models
Experience adapting pre-trained LLMs for downstream tasks
Proficiency using open-source ML toolkits and frameworks (e.g. Py Torch, Tensor Flow)
Strong programming skills in Python, Swift, C or C++
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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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
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0 reports
$121,979
total / year
Base
-
Stock
-
Bonus
-
$103,682
$140,276
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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