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Wireless Systems AI/ML Engineer

Apple

Wireless Systems AI/ML Engineer

Apple

San Diego, CA

·

On-site

·

Full-time

·

1mo ago

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

Apple

Public

A 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