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Join the Wireless Technologies and Ecosystems team and be part of an elite team of engineers, working with multi-functional teams to drive innovation and develop products used by millions worldwide. We are looking for a highly technical individual who can excel in a fast-paced environment. Be ready to make something extraordinary when you come here. Industry-defining technologies are the norm at Apple. People who work here have reinvented and defined entire industries with our products and services. The same real passion for innovation also applies to our business practices - strengthening our dedication to leave the world better than we found it. You should join Apple if you want to help deliver the next amazing Apple product.
Description:
Apple's Cellular Software team is seeking talented and highly motivated engineers to work across layers on groundbreaking cellular technologies. The position involves identifying and developing Artificial Intelligence (AI) / Machine Learning (ML) solutions to augment and enhance core cellular technologies for our i Phone, i Pad, Watch and other wireless product lines. We are passionate about keeping our users connected anytime wherever they go with industry-best user experience. This team takes pride in not just coming up with proven software designs but also in disrupting traditional models of the cellular ecosystem. We do whatever it takes to bring user experience to the next level.
Are you passionate about applying AI/ML to enable groundbreaking cellular technologies? Then we are looking for you. In this role you will be a key member of the Cellular SW AIML team with following responsibilities.","responsibilities":"Architect & develop cellular AI/ML methods for enhancing different cellular SW components.
Will help realize innovative algorithms and methodologies for ML features that have an impact on Apple products and user experience.
Will use real-world datasets from consumer devices, explore innovative ML models that balance system KPI and complexity.
Will contribute towards custom library and toolchain development for cellular feature development.
Preferred Qualifications:
Master's or PhD degree in Computer Science, Electrical Engineering, or equivalent majors.
Hands-on work with LLMs including experience building or fine-tuning LLMs for software engineering tasks is a plus.
Understanding of prompt engineering, and retrieval-augmented generation (RAG) is a plus.
Familiarity with current generative AI ecosystem (e.g. ChatGPT, Claude) and experience with using LLMs for tools and workflows is a plus.
Research and publication history in the AI/ML field (e.g., ICLR, NeurIPS, CVPR, ICCV/ECCV, industry lab publications).
Ability to communicate effectively, both written and verbal, with cross-functional teams.
Minimum Qualifications:
Bachelor's degree in Computer Science, Electrical Engineering, or equivalent majors.
3+ years industry experience in researching and developing AI / machine learning solutions for commercial products.
Experience in supervised and unsupervised learning methods.
Expertise in implementing different Machine Learning algorithms, one or more of Deep Learning, Reinforcement Learning, Tree-based models, Graphical Models, RNN/LSTM, Transformers.
Experience building machine learning models trained on large datasets making use of industry-grade data & training pipelines.
Good understanding of algorithm complexity and experience in carrying out performance vs. complexity trade-off analysis.
Strong proficiency in Python and ML frameworks (e.g., Py Torch or Tensor Flow) for data pre-processing, ML model training, and hyper parameter tuning.
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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