Jobs
Benefits & Perks
•Remote work flexibility
•Wellness benefits
•Learning and development stipend
•Health, dental, and vision coverage
•Parental leave program
•Annual team offsites
Required Skills
Apache Spark
SQL
PyTorch
About the Role
Join the Wireless Technologies and Ecosystems (WTE) organization and be part of a best-in-class team of engineers, working with multi-functional teams to drive innovation and develop products used by millions worldwide. We are looking for an individual who can excel in a high-paced environment. Be ready to make something extraordinary when you come here. Dynamic, encouraging people and innovative, industry-defining technologies are the norm at Apple. The 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 Wireless Systems Analysis team is seeking talented, highly motivated and disciplined Engineer to work across layers on groundbreaking wireless technologies. You will be responsible for building next generation AI Agents, Tools & services for analyzing Connectivity/Cellular functional & performance issues for future Apple product lines with emphasis on improving the overall user experience in terms of performance. You will have the opportunity to make a significant, organization-wide impact by tackling and resolving complex technical challenges that shape the future of automated analysis of SW bugs from various wireless technologies at Apple using advanced AIML tools. Development of advanced system evaluation and debugging capabilities is required on an as needed basis. As part of this team, you will impact i Phone, i Pad & Mac user experience worldwide.
Minimum Qualifications
- Masters in Computer Science (or related fields) or equivalent experience
- Expert in ML frameworks (Py Torch or Tensor Flow), with hands-on experience in building out complete ML pipelines (data, model, implementation, optimization, benchmarking & evaluation)
- Hand-on experience using Gen AI, LLMs and ML models to solve real problems at scale
- Expertise with advanced Gen AI techniques, such as RAG, Agent Orchestration, Context Management, Prompt Engineering
- Proficiency in python scripting for data analysis and visualization & Tools development
- Strong understanding in one of Wi Fi, Bluetooth, Thread or related protocols
- Excellent analytical and debugging skills
- Effective communication skills, particularly with technical content
- Highly organized, creative, self-motivated, and passionate about achieving results
Preferred Qualifications
- PhD in Computer Science (or related fields) or equivalent experience
- Excellent communication and interpersonal skills for collaborating with a technical team
- Strong Analytical and problem-solving skills, with the ability to debug complex issues and communicate findings effectively
- Excellent attention to details with the passion to deliver high-quality work on tight schedule
Equal Opportunity
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
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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