채용

LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development
Seattle, WA
·
On-site
·
Full-time
·
1d ago
The Apple Intelligence Model Optimization and Algorithms Development team brings innovative AI research into Apple products.
Description
We are looking for strong Machine Learning Applied Scientists and Research Engineers to build ground breaking server-based and on-device large machine learning capabilities and emerging innovations. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).
Preferred Qualifications
Publication record at top AI/ML venues
Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS
Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C.
Infrastructure management and debugging experience
Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms
Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities
PhD in related field
Minimum Qualifications
Proven ability to define goals and deliver results when faced with uncertainty and real-world constraints in AI product development
Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models
Python coding and general purpose system admin and infrastructure management abilities
History of applied research in neural network model optimization or training or a related area application
Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment
BS degree and 5+ years of experience, MSc and 3+ years of experience, or PhD and 1+ year of experience
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 소개

Apple
PublicApple 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+
직원 수
Cupertino
본사 위치
$3.5T
기업 가치
리뷰
3.9
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.8
커리어
3.5
경영진
3.2
72%
친구에게 추천
장점
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
단점
Work-life balance challenges
High stress and pressure
Fast-paced environment
연봉 정보
11,365개 데이터
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0개 리포트
$121,979
총 연봉
기본급
-
주식
-
보너스
-
$103,682
$140,276
면접 경험
3개 면접
난이도
3.3
/ 5
소요 기간
28-42주
합격률
33%
경험
긍정 33%
보통 0%
부정 67%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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