招聘

LLM Machine Learning Research Engineer, Model Optimization & Algorithms Development
Seattle, WA
·
On-site
·
Full-time
·
2w ago
Compensation
$139,500 - $258,100
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Relocation Assistance
•Healthcare
•401k
•Equity
•Learning
Required Skills
Python
Machine Learning
Neural networks
Model optimization
LLMs
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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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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